1. OSCM Publications
  2. Volume 11, Issue 1, 2018

Volume 11, Issue 1, 2018

  1. Integrating Sustainability in the Design and Planning of Supply Chains
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0350212
    This research integrates factors and practices relevant to environmental and economic sustainability and, thereby, encapsulates social responsibility in supply chain (SC) design and planning to enhance its overall performance. Such factors and practices are included in the design and planning model as proactive inputs to face the potential cost impacts as well as to achieve desirable benefits. A feature of the model is to incorporate performance of the SC relative to benchmark /target values and consider options to reduce gaps for improving overall sustainability performance of the business. The model considers measurable key characteristics of the factors in a closed loop SC to have a tangible effect on the bottom line and improve the company’s image to customers with a keen view of sustainability in mind. The research outcomes show effectiveness of the proposed target based planning to pinpoint crucial sustainability indices and select appropriate options to improve the indices and overall performances within desirable bounds on cost. A numerical example is illustrated to aid managers to design and plan such SCs for their businesses.
    @article{oscm-2018-244,
  title={Integrating Sustainability in the Design and Planning of Supply Chains},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0350212}
}
     (2018). Integrating Sustainability in the Design and Planning of Supply Chains. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0350212
  2. Sustainability and Optimization of Supply Chains: a Literature Review
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0350213
    Sustainability of supply chains (SCs) and supply chain optimization is a topic of increasing interest in academia and industry. Although several authors have studied various aspects optimization and sustainability of SC, there is still a gap in understanding sustainable development of SCs. The aim of this study is to bridge this gap and to better understand interdependencies between economic, environmental and social dimensions of sustainability. To fulfill the research objective, this study examines 50 peer-reviewed articles published literature in the field of sustainable SCs and SC optimization. Selected papers used mathematical modeling techniques (optimization) as research methodology combined with one or more dimensions of sustainability. Findings of this work indicate that there are several SC optimization models addressing all three dimensions of sustainability simultaneously, and social dimension of sustainability is the least studied aspect. Furthermore, an application taxonomy of mathematical modeling approaches used in sustainable SCs is provided. Future research should shift the focus from models dealing primarily with economic and environmental dimensions towards more balanced models that include all three sustainability aspects. This paper enhances understanding how was sustainability principles are incorporated into mathematical models for SC optimization, and provides SC optimization models with pertinent sustainability indicators.
    @article{oscm-2018-245,
  title={Sustainability and Optimization of Supply Chains: a Literature Review},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0350213}
}
     (2018). Sustainability and Optimization of Supply Chains: a Literature Review. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0350213
  3. A Review of Behavioral Decision Making in the Newsvendor Problem
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0350214
    Schweitzer and Cachon (2000) demonstrated that choices of decision-maker in the newsvendor problem setting systematically deviate from those that maximize their expected profit. Since then, a large body of empirical and theoretical studies has been published to describe the newsvendor decision-making behavior. To establish further, the purpose of this paper is twofold. First, it identifies the various behavioral theories and biases that explain the newsvendor behavior by employing a systematic literature review of peer-reviewed articles published in leading journals from 2000 to 2017. Second, it classifies and analyzes the identified literature from three dimensions of human behavior namely: individual decision making biases, social preferences, and cultural aspects. Our findings from the review show that research has primarily emphasized individual decision making biases while social and cultural aspects lack analysis and are worthy of investigation. Finally, we discuss some directions for future research, followed by the conclusion and limitations of this review.
    @article{oscm-2018-246,
  title={A Review of Behavioral Decision Making in the Newsvendor Problem},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0350214}
}
     (2018). A Review of Behavioral Decision Making in the Newsvendor Problem. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0350214
  4. Analysis of Challenges Faced by Indian Logistics Service Providers
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0350215
    In developing country like India, logistics sector is in booming stage and grabbing opportunities to grow infinitely. Currently, Logistics sector contributes around 14% in GDP in India. Boom in e-commerce industry and initiatives like MAKE in India, will definitely bring substantial growth for Logistics Service Providers (LSPs). The LSPs need to redesign their strategies in order to grab all upcoming opportunities. Many challenges are faced by logistics service providers in order to deliver shipments on promised time and in desirable condition. Although, Government has already initiated several mega projects to support LSPs but still it is not synchronized with increased industry requirements. Fragmented and unorganized sector, Infrastructural bottlenecks and Cost implications etc. are the main challenges which come across in delivering high quality services to the end customers. In this study, it has been attempted to identify and analyze the key challenges which impede the effective service quality of logistics service providers. Based on the literature review and experts’ opinion, ten key challenges faced by logistics service providers are identified. A structural relationship model is developed by using Interpretive Structural Modeling (ISM) and further challenges are categorized as drivers, dependent, autonomous and linkage variables based on their driving and dependence power with the help of MICMAC Analysis. Based on MICMAC analysis, three challenges have been identified as dependent variables, four as drivers, one as autonomous and two as linkage variables. The study is expected to provide useful inputs to practitioners and service providers itself in terms of crafting better strategies which can overcome the identified challenges and can design better solutions for delivering better service quality to their customers.
    @article{oscm-2018-247,
  title={Analysis of Challenges Faced by Indian Logistics Service Providers},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0350215}
}
     (2018). Analysis of Challenges Faced by Indian Logistics Service Providers. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0350215
  5. An Optimal Model at the Interface of Operations with Social Media Marketing
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0350216
    Social media sales and the logistics of products is being shuttled into a new technological paradigm. The purpose of this paper is to review the role of social media sales force and its effects on lot size process and the pricing under an infinite-time horizon assumption. We begin with reviewing the role and importance of social media in business; with a focus on the mathematic deterministic model for decision making that offer ways in which social media influences each step. Scenarios are specifically considered. In the first scenario, price is determined by the market. What size to hold inventoried products and what to budget for promotions on a social media platform are the important variables in market determined pricing. In the second scenario, price is examined by the decision maker based on maximizing the profit margin. In this first case scenario, advertising and product prices are jointly considered to maximize the profit margin. In this second case scenario, lot sizing is considered to minimize costs of holding inventories and placing orders. In both scenarios, the profit function outcome is concave. Therefore, the model optimizes solutions for pricing, lot-sizing for social media advertising policies.
    @article{oscm-2018-248,
  title={An Optimal Model at the Interface of Operations with Social Media Marketing},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0350216}
}
     (2018). An Optimal Model at the Interface of Operations with Social Media Marketing. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0350216
  6. Enterprise Resource Planning System Implementation: A User Perspective
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0320207
    The purpose of this study is to evaluate critical success factors (CSFs) for the implementation of an enterprise resource planning (ERP) system from a user perspective. Users play a vital role when implementing an ERP system, but their perspective has been neglected in the literature. A better understanding of their perspective promises to contribute to the design of more effective ERP systems, its implementation, and management. In order to identify the user perspective, a survey was conducted within three organizations from Pakistan that have recently implemented an ERP system. The questionnaire was developed based on thirteen CSFs deduced from literature. Based on each CSF’s level of importance, they are ranked in order of importance and divided into three groups: most important, important and not important. Findings reveal that users of the three organizations in Pakistan believe that the implementing organization should prioritize the following four CSFs when implementing an ERP system: education and training, strategic decision-making, communication, and business process alignment.
    @article{oscm-2018-249,
  title={Enterprise Resource Planning System Implementation: A User Perspective},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0320207}
}
     (2018). Enterprise Resource Planning System Implementation: A User Perspective. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0320207
  7. Dynamic Response of Risk Management Model to Mitigate Impact of Maritime Regulatory Changes: Oil Tanker Owners Perspective
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0320208
    The contemporary shipping industry is a high-risk business activity that is highly regulated by the International Maritime Organization (IMO). Changes in IMO regulations are often triggered by major incidents that bring safety at sea into public view. They may address ship instruments, operation, cargo, crew, environment, security and safety, and can generate higher Capital Expenses (CAPEX) and Operational Expenses (OPEX) for shipping businesses. Oil tanker owners are key stakeholders in the shipping industry and are most exposed to the risk of higher on-cost expenses both for CAPEX and OPEX. Between 2006 and 2019, regulations regarding oil tankers were changed six to seven times per year. This paper assesses the financial impact of changes in major international maritime regulations, primarily, the International Convention of Safety of Life at Sea (SOLAS), MARPOL, and STCW. The methodology involves using a risk matrix from a specific company and combining it with system dynamics to forecast the dynamic effect of such changes on the oil tanker market. The result shows that changes in regulations can have a catastrophic impact on the sustainability of the oil tanker business.
    @article{oscm-2018-250,
  title={Dynamic Response of Risk Management Model to Mitigate Impact of Maritime Regulatory Changes: Oil Tanker Owners Perspective},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0320208}
}
     (2018). Dynamic Response of Risk Management Model to Mitigate Impact of Maritime Regulatory Changes: Oil Tanker Owners Perspective. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0320208
  8. Strategies for Managing Excess and Dead Inventories: A Case Study of Spare Parts Inventories in the Elevator Equipment Industry
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0320209
    Spare parts organizations of elevator original equipment manufacturers (OEM) face enormous challenges on how to manage their excess and dead inventory due to the life-cycle of the equipment. On one hand, the long life-cycle of equipment’s requires that organizations ensure the provision and availability of the spares until equipment termination / retirement. On the other hand, these organizations need to control their inventory carrying cost, inventory write-offs and ensure that only needed spare parts are available for their customers. This study explores operations and inventory strategies for reducing and controlling excess inventory. Through a combination of literature review, root cause analysis and the implementation of these strategies in a case company, a managerial tool-box for managing and controlling excess inventory was developed. Root causes of excess inventory were shown to be due to data errors in inventory planning parameters, inappropriate demand forecasting methods, lack of ownership, lack of part life-cycle management and part life-cycle pricing as well as internal practices within the organizations. The paper proposes managerial tool-box that includes both Strategic (ownership and key performance indicators, strategic policy on reverse logistics, customer buy-backs, large purchase volumes for sourcing savings, leveraging Big Data and Analytics); Reactive (lateral transshipment, scraping & disposal of excess inventory, sales discounts, spare parts dismantling into sub spare parts) and Proactive (Croston/SBA forecasting, exception management for data errors, tool/algorithm for new spare parts forecasting, part replacement control measures, forecasting sudden decrease in demand and part life-cycle pricing) measures on how excess inventory can be controlled and reduced.
    @article{oscm-2018-251,
  title={Strategies for Managing Excess and Dead Inventories: A Case Study of Spare Parts Inventories in the Elevator Equipment Industry},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0320209}
}
     (2018). Strategies for Managing Excess and Dead Inventories: A Case Study of Spare Parts Inventories in the Elevator Equipment Industry. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0320209
  9. Personal Relationships and Higher Agency Costs: Study of Buyers and Suppliers in Australian Manufacturing and Service Sector
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0320210
    Personal relationships (i.e. friendships) have been the subject of much research in the business discipline, with the majority of literature focusing on how personal relationships yield positive firm-level outcomes. However, personal relationships are not without drawbacks and may lead to negative outcomes for the firms involved. Despite this, the current body of knowledge on this issue is relatively fragmented. This paper addresses this important gap in the literature. For exploratory purposes, the study is qualitative in nature. Based on a grounded theory approach, a model is developed describing how personal relationships embedded within inter-firm relationships lead to negative outcomes for the firms. Overall, 16 in-depth interviews with seniormanagers of buying and supplying firms were undertaken. Results from this study exhibit that managers engage in exploitation of personal relationships by demanding higher sales commission, higher bonuses and higher salaries from their respective firms, leading to higher agency costs. Firms can use these finding to understand explicitly what types of negative consequences personal relationships yield. Further, this study presents to firms specific actions that managers of buying and supplying firms engage in, when a personal relationship is present between them in the supply chain Finally, this paper concludes by providing several constructive guidelines to firms on managing personal relationships within inter-firm relationships in order to mitigate its negative firm-level consequences.
    @article{oscm-2018-252,
  title={Personal Relationships and Higher Agency Costs: Study of Buyers and Suppliers in Australian Manufacturing and Service Sector},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0320210}
}
     (2018). Personal Relationships and Higher Agency Costs: Study of Buyers and Suppliers in Australian Manufacturing and Service Sector. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0320210
  10. Optimizing the Total Cost of an E-waste Reverse Supply Chain Considering Transportation Risk
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0320211
    Due to technological boom, the quantity of electronic goods is significantly growing. After their useful life, they become e-waste which has considerable impacts on the environment and society. To mitigate the issue, the reverse supply chain (RSC) has been investigated to reuse components or recycle raw materials contained in e-waste. The total cost of RSC operation is one of the vital issues which has been receiving more attention from both industry and academia. The existing research concentrates on minimizing the overall cost of the system like transportation, operating, disposal and fixed costs. However, risks normally involved during the transportation of e-waste in RSC network has not been addressed. These risks might involve collection delays, breakdown of trucks, accidents and the variation of hazardous materials which can result in unexpected disruptions and significantly higher cost. Currently, there is no research incorporating transportation risk in RSC operation. This paper is aimed to develop a mathematical model for the total cost minimization of an e-waste RSC system with consideration of transportation risk. A mixed integer linear programming is applied in the proposed model and solved by an optimization software. To illustrate the applicability of the proposed model, a numerical example is also examined. The results of this paper can decide the optimal locations for treatment centers and the flow of used products or components delivered within an e-waste RSC network. This result can support managers to design an e-waste RSC network whilst transportation risk factors are considered.
    @article{oscm-2018-253,
  title={Optimizing the Total Cost of an E-waste Reverse Supply Chain Considering Transportation Risk},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0320211}
}
     (2018). Optimizing the Total Cost of an E-waste Reverse Supply Chain Considering Transportation Risk. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0320211
  11. An Improved Efficient Algorithm for Time Dependent Vehicle Routing
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0310201
    A universal challenge in solving a variety of vehicle routing problems (VRPs) is the exponential increase of computation time when the number of entities such as roads, vehicles, and destinations increases. This article studies a class of VRPs in which multiple vehicles located at different locations are dispatched to multiple destinations. Real time VRP in large road networks with time dependent travel time remains a challenge because computation time for the optimal vehicle routes and assignment increases significantly as the size of road networks increases. This article (a) applies a shortest path algorithm with arc labelling to reduce required computer storage space; (b) develops a revised Hungarian method to minimize the latest arrival time and total travel time; and (c) uses appropriate computer programs and tools to reduce computation time for optimal vehicle routing. The algorithm developed in this article identifies the optimal vehicle routes and assignment in six minutes for large and dense road networks.
    @article{oscm-2018-254,
  title={An Improved Efficient Algorithm for Time Dependent Vehicle Routing},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0310201}
}
     (2018). An Improved Efficient Algorithm for Time Dependent Vehicle Routing. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0310201
  12. Development of a Disaster Relief Logistics Model Minimizing the Range of Delivery Time
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0310202
    On March 11, 2011, the Great East Japan Earthquake (GEJE) attacked the North-Eastern Parts of Japan and the scale of the earthquake was the largest in recorded history in Japan. Despite Japan’s great efforts in this disaster relief operation, relief goods did not reach the affected area. Managing disaster relief operations in the disaster situation like the GEJE is complex. Therefore, it became clear that the logistics system in the situation of a disaster had a lot of problems. In disaster situation like the GEJE, organizing the relief supply operations to afflicted people can be efficiently conducted. There are many disaster relief operations issues that need to be considered and resolved through logistics. Especially, it is very important that the distribution to the many victims is conducted equally. In this study, from the point of flow of distribution relief goods to the victims, we focus on the relationship between the shelter and the secondary collection point. The purpose of this study is to propose a logistics model that achieves the fair distribution for the many victims from the view point of the difference of the arrival time. In the earthquake, there were many routes that were unavailable and there was a limit to the number of cars that was available because of shortage of fuel. While considering these phenomena, we propose the logistics model that minimizes the range of the delivery time that the victims received relief goods from the transportation vehicles. Finally, in order to confirm the effectiveness of the proposed model, we perform the numerical experiments using the data of the Great East Japan Earthquake and the efficiency of the model is confirmed.
    @article{oscm-2018-255,
  title={Development of a Disaster Relief Logistics Model Minimizing the Range of Delivery Time},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0310202}
}
     (2018). Development of a Disaster Relief Logistics Model Minimizing the Range of Delivery Time. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0310202
  13. Understanding Intra-organisational Information Dependency: An Empirical Network Analysis of Vietnamese Freight Forwarding Industry
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0310203
    The use of timely, accurate, and relevant information is crucial for supply chain performance. Within business firms, executives and managers depend on demand and inventory data to make decisions for business operations. In this technological era, many firms are reliant on technological platforms to share mission critical information between their business units to prevent bullwhip effect due to information lag, and to improve coordination and collaboration among the units. Extant literature reveals that there is a strong research emphasis on information sharing practices between firms, and little on the information sharing practices within the firms for supply chain efficiencies. There is also limited research done to understand the impacts of information quality e.g. sharing mechanism, accuracy, timeliness and relevance have on the management of supply chains. Research often tend to focus on information sharing practices in modern businesses that utilises sophisticated IT systems for supply chain management, and neglects the business firms that operating in less developed environments. To investigate implications of information quality on supply chain efficiencies, this paper utilises social network analysis (SNA) to study information flows in the firms that operate in the Vietnamese freight forwarding industry.
    @article{oscm-2018-256,
  title={Understanding Intra-organisational Information Dependency: An Empirical Network Analysis of Vietnamese Freight Forwarding Industry},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0310203}
}
     (2018). Understanding Intra-organisational Information Dependency: An Empirical Network Analysis of Vietnamese Freight Forwarding Industry. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0310203
  14. Use of Quantitative and Qualitative Methods for Modelling Green Supply Chains
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0310205
    Interest in the field of the development and implementation of the principles of green supply chains is increasing. Among theorists and practitioners of management, they are seen as a new trend and an innovative strategy. Ever-increasing customer requirements, the development of economies in the direction of closing the loop and the depletion of resources lead to a situation in which innovative solutions (including green supply chains) should be implemented. Qualitative and quantitative tools are used to assess their operations. This paper focuses largely on aspects of quantitative statistical methods that are used to assess individual elements of a supply chain, as well as a holistic approach to the evaluation of the entire chain. The methods that were chosen are an attempt to build a framework for a model and determine which of the tools are used in practice. The analysis includes an indication of the advantages, as well as the limitations, of the use of particular instruments. The second part of the paper includes an analysis of qualitative tools, devoting particular attention to tools and instruments from the area of management.
    @article{oscm-2018-257,
  title={Use of Quantitative and Qualitative Methods for Modelling Green Supply Chains},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0310205}
}
     (2018). Use of Quantitative and Qualitative Methods for Modelling Green Supply Chains. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0310205
  15. An Integrated Lean Supply Chain Framework for U.S. Hospitals
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0310206
    We apply a lean supply chain framework to the healthcare industry in the U.S., drawing support from lean systems philosophy. We conceptualize a view of the U.S. healthcare ecosystem that places a hospital and its admitted patients at the center and describes how all entities inside and outside the hospital work can implement lean principles to improve patients' quality care. This application depicts how a holistic consideration of hospital resources available in both the internal and external supply chain would increase the optimal use of such resources and ultimately serve patients. We offer propositions suggesting that an integrated supply chain perspective would be helpful for delivering high quality of care to patients admitted to the hospital. This perspective suggests that hospitals need to streamline the three types of flows–physical product, information and financial–with elements in the internal supply chain and maintain collaborative relations with entities in their external supply chain. We discuss theoretical and practical implications of our research.
    @article{oscm-2018-258,
  title={An Integrated Lean Supply Chain Framework for U.S. Hospitals},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0310206}
}
     (2018). An Integrated Lean Supply Chain Framework for U.S. Hospitals. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0310206
  16. Modeling Enterprise Risk Management in Operations and Supply Chain: A Pharmaceutical Firm Context
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0300195
    The growing prevalence of disruptive influences in modern operations and supply chains has called for a systematic approach to identify risk sources and to develop predictive enterprise risk management. This imperative has become a top priority for many organizations such as the pharmaceutical industry. This paper leverages a multi-criteria decision making methodology to model enterprise risk management in a focal pharmaceutical firm operations and supply chain. Six types of risks and five strategies are considered and analyzed. Results suggest that supply chain executives attach great importance to regulation/legislation, followed by operational, and reputation risks, while financial, market, and relationship risks ranked low in importance. With respect to enterprise risk management strategies, risk reduction/mitigation was considered the best option followed by risk avoidance option. From the results, it appears that multi-criteria decision making methodology can be used to assist supply chain executives in developing a priority hierarchy for risk management strategies. It can also help the management with a step-by-step approach to identify, assess, and manage portfolio of risks that can be detrimental to their pharmaceutical supply chain performance, brand equity, profit growth, and shareholder value.
    @article{oscm-2018-259,
  title={Modeling Enterprise Risk Management in Operations and Supply Chain: A Pharmaceutical Firm Context},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0300195}
}
     (2018). Modeling Enterprise Risk Management in Operations and Supply Chain: A Pharmaceutical Firm Context. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0300195
  17. A Study on the Maritime Transport Network Design under Different Charter Rates: The Case of LNG Transport between Qatar and Turkey
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0300196
    Many indicators show that the total global LNG demand has risen by an estimated 7.6% per year since 2000. Over the same period, the growth is almost three times faster compared to the natural gas growth estimated at 2.7% per year. As a consequence, the number of the LNG tankers trip from and to the production fields and the consumptions area is growing. The challenge is to design a cost efficient maritime route for an LNG tankers. This article investigates: (i) how, the frequent fluctuation of the Bunker price, the Suez Canal tolls, terrorism activities etc. might affect decision of the LNG Tankers maritime routes and (ii) suggest a framework to help the redesign of a maritime transport routes for LNG vessels. To illustrate this framework developed, the case of the LNG transport between Qatar and Turkey is analysed with an extension made to a maritime route from Asia to Europe. The paper's contribution to the literature is the development of a routing scheme design achieving LNG handling cost savings from Asia to Europe.
    @article{oscm-2018-260,
  title={A Study on the Maritime Transport Network Design under Different Charter Rates: The Case of LNG Transport between Qatar and Turkey},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0300196}
}
     (2018). A Study on the Maritime Transport Network Design under Different Charter Rates: The Case of LNG Transport between Qatar and Turkey. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0300196
  18. Pursuing Sustainability via Reverse Logistics: The Symbiosis Effect Between the Local Authorities and Householders
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0300197
    This paper reveals how factors associated with household recycling systems affect household recycling behaviour, and how household recycling behaviour affects the provision of household recycling systems by the local authorities (LA). The main objective is to reveal and explain the interaction and symbiosis effects between household recycling system and household recycling behaviour. Using a mixed methodology stance, the first approach is a qualitative research stage supported the symbiosis effect between the LAs and the householders. The second approach is quantitative research stage employed multiple regression analysis that juxtaposed the existence of interactions between personal factors and situational factors which the representation of LAs and the householders respectively. Finally, co-examination between the first and second stages revealed the need to use symbiosis effect perspective in understanding backward movement between householders and household recycling waste systems. This study has found that a "symbiosis effect" perspective appears to be a robust framework to bring together effective household waste recycling systems and sustainable development considerations to enhance both sustainability and the economy. Further, the study provides empirical evidence examining both situational and personal factors of households and their interactions, which were previously not well-understood. This study has incorporated behavioral aspects in the reverse logistics process that should help improve the LAs’ planning processes.
    @article{oscm-2018-261,
  title={Pursuing Sustainability via Reverse Logistics: The Symbiosis Effect Between the Local Authorities and Householders},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0300197}
}
     (2018). Pursuing Sustainability via Reverse Logistics: The Symbiosis Effect Between the Local Authorities and Householders. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0300197
  19. Role of Big Data in Decision Making
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0300198
    Information systems coupled with internet, cloud computing, mobile devices and Internet of Things have led to massive volumes of data, commonly referred as big data. It includes mix of structured, semi-structured and unstructured real-time data, constituting of data warehouse, OLAP, ETL and information. Business firms and academicians have designed unique ways of tapping value from big data. There is a great scope of using large datasets as an additional input for making decisions. The aim of the paper is to explore the role of big data in these areas for making better decisions. Here we explore how big data can be used to make smart and real-time decisions for improving business results. The paper undergoes literature review and secondary data to provide a conceptual overview of potential opportunities of big data in decision making. The paper discusses the concept of big data, its role in decision making and also the competitive advantage of big data for different firms. The paper also discusses a framework for managing data in decision making. The topic must be addressed for taking better decisions for firms which will contribute to high quality knowledge.
    @article{oscm-2018-262,
  title={Role of Big Data in Decision Making},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0300198}
}
     (2018). Role of Big Data in Decision Making. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0300198
  20. Logistics Capability, Supply Chain Uncertainty and Risk, and Logistics Performance: An Empirical Analysis of Australian Courier Industry
    Abstract Full PDF Cite DOI: http://doi.org/10.31387/oscm0300200
    The purpose of this paper is to examine the applicability of logistics capability for mitigating supply chain uncertainty and risk and improving logistics performance in the Australian courier industry. Based on the resource-based view, a quantitative research study is designed to investigate the relationships among three latent variables: logistics capability, supply chain uncertainty and risk, and logistics performance. Structural equation modelling is used to analyse the data. The results indicate that there are significant relationships between logistics capability, supply chain uncertainty and risk, and logistics performance. The results provide insights into supply chain uncertainty and risk management. This paper provides empirical support for the resource-based view as it applies to mitigating supply chain uncertainty and risk management in the Australian courier industry. These findings suggest that managers might develop and deploy logistics capability to support and enable supply chain risk management strategies.
    @article{oscm-2018-263,
  title={Logistics Capability, Supply Chain Uncertainty and Risk, and Logistics Performance: An Empirical Analysis of Australian Courier Industry},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0300200}
}
     (2018). Logistics Capability, Supply Chain Uncertainty and Risk, and Logistics Performance: An Empirical Analysis of Australian Courier Industry. Operations and Supply Chain Management: An International Journal, 11(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0300200
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