1. OSCM Publications
  2. Volume 16, Issue 2, 2023

Volume 16, Issue 2, 2023

  1. Stakeholder Engagement for Green Process Innovation: Exploring the Link and Boundary Conditions
    • Listowel Owusu Appiah
    Abstract Full PDF Cite DOI: 10.31387/oscm0530380
    Despite the growing research attention towards the role of stakeholders in developing green innovations, there is limited understanding of the mechanism and specific firm-level conditions under which stakeholder engagement enhances green innovation. Drawing on the Stakeholder theory and the Natural Resource Based View, this paper theorizes that absorptive capacity and risk-taking behaviour are underlying mechanisms and boundary conditions respectively in the stakeholder engagement-green process innovation relationship. The model is tested with survey data obtained from manufacturing firms in Ghana. The results show that absorptive capacity mediates the relationship between stakeholder engagement and green process innovation. Also, the relationship between stakeholder engagement and green process innovation is conditioned by risk-taking behaviour. The implication of these findings for theory and practice is discussed in the text.
    @article{listowelowusuappiah-2023-1592,
  title={Stakeholder Engagement for Green Process Innovation: Exploring the Link and Boundary Conditions},
  author={Listowel Owusu  Appiah},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={153--163},
  doi={10.31387/oscm0530380}
}
    Listowel Owusu  Appiah (2023). Stakeholder Engagement for Green Process Innovation: Exploring the Link and Boundary Conditions. Operations and Supply Chain Management: An International Journal, 16(2), 153-163. https://doi.org/10.31387/oscm0530380
  2. Healthcare Supply Chain System Challenges and Mitigation Measures: A Systematic Review of Qualitative Evidence
    • Siti Norida Wahab
    • Nusrat Ahmed
    • Md. Uzir Hossain Uzir
    Abstract Full PDF Cite DOI: 10.31387/oscm0530381
    This paper aims to examine the current challenges faced by Malaysian hospitals during the post-COVID-19 pandemic. This paper employs a subjective environmental scanning approach and a review of the current literature and outlines the challenges as well as proposed mitigation measures to address these concerns. Based on a review and analysis of the literature, the key challenges that the Malaysian healthcare system is struggling with include misinformation and disinformation, high hospital bed occupancy, ICU management crisis, acute shortage of healthcare professionals, treatment delays among non-COVID patients, personal protective equipment (PPE) shortage, occupational burnout, and mental health issues among healthcare professionals, blood supply management issues, challenges concerning treatment, and the challenges concerning vaccination. Several mitigation measures have been proposed as a solution. This research draws the attention of hospital management and policymakers to the issues they confront during the post-COVID-19 pandemic so that suitable solutions may be developed to address them. Findings and suggested mitigation measures can add considerable value to current academic work, and deepen knowledge along with the development of a successful healthcare supply chain system. This study is among a few of its kind that offers mitigation measures for diversifying the healthcare business by venturing into the supply chain system.
    @article{sitinoridawahab-2023-1593,
  title={Healthcare Supply Chain System Challenges and Mitigation Measures: A Systematic Review of Qualitative Evidence},
  author={Siti Norida  Wahab and Nusrat  Ahmed and Md. Uzir Hossain  Uzir},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={164--176},
  doi={10.31387/oscm0530381}
}
    Siti Norida  Wahab, Nusrat  Ahmed, Md. Uzir Hossain  Uzir (2023). Healthcare Supply Chain System Challenges and Mitigation Measures: A Systematic Review of Qualitative Evidence. Operations and Supply Chain Management: An International Journal, 16(2), 164-176. https://doi.org/10.31387/oscm0530381
  3. Multi-Echelon Inventory Optimization under Disruption Risk
    • Shunichi Ohmori
    • Alex J Ruiz Torres
    • Farzad Mahmoodi
    Abstract Full PDF Cite DOI: 10.31387/oscm0530382
    This study investigates optimal inventory positioning in multi-stage supply chains by utilizing a mixed-integer nonlinear programming model that incorporates a scenario-based disruption delay, and the subsequent expediting to mitigate inventory shortages. The goal is to determine the amount and positioning of inventory in the supply chain to minimize the total inventory and expediting costs, subject to meeting customer service requirements. Discretization techniques are applied to linearize non-convex objective functions and reformulate the problem as an equivalent mixed-integer linear programming, which can be solved by the standard solvers. To demonstrate the model, numerical experiments are conducted to determine the optimal solution under different disruption scenarios. These experiments provide interesting insights regarding inventory decisions that can serve as guidelines for building resilience in the supply chain.
    @article{shunichiohmori-2023-1594,
  title={Multi-Echelon Inventory Optimization under Disruption Risk},
  author={Shunichi  Ohmori and Alex J Ruiz  Torres and Farzad  Mahmoodi},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={177--189},
  doi={10.31387/oscm0530382}
}
    Shunichi  Ohmori, Alex J Ruiz  Torres, Farzad  Mahmoodi (2023). Multi-Echelon Inventory Optimization under Disruption Risk. Operations and Supply Chain Management: An International Journal, 16(2), 177-189. https://doi.org/10.31387/oscm0530382
  4. Analysis of Implementation Barriers to Logistics Systems Integration for Omni-Channel Retailing using an Integrated ISM-Fuzzy MICMAC Approach
    • Ranjit Roy Ghatak
    Abstract Full PDF Cite DOI: 10.31387/oscm0530383
    Integrating logistics across channels is crucial to omni-channel (OC) retailing success. OC retailers need to re-examine current logistics strategies to adapt them to OC systems. Implementing OC logistics in retail necessitates the integration of various sub-dimensions within the logistics domain while considering technical, managerial, behavioural, and infrastructure restrictions. Logistics integration is challenging in the OC retailing environment due to the unstructured approach. The purpose of this study is to identify and prioritise barriers to OC logistics in retail, as well as to provide a framework for managing their systematic elimination. A review of the literature and expert opinion revealed twenty-six impediments. Using Fuzzy Interpretative Structural Modelling (FISM), the researchers developed a hierarchical model of the barriers. Following that, a Fuzzy Matrice d’Impacts croises-multiplication applique (FMICMAC) analysis of the barriers helped determine the relative efficacy of the barriers in causing impediment. The study contributes to the growing body of knowledge on OC retailing by resolving the logistics integration issues that impede effective OC logistics implementation. The article fills a substantial void in the literature by developing a structured framework for comprehending and prioritising the logistical problems associated with OC logistics deployment. Modelling the OC logistical barriers' interrelation offers a better understanding of their relationship dynamics, hence easing their gradual eradication. The findings contribute to OC literature by examining the critical logistics resources required for establishing OC logistics, an area of OC retailing literature that has received disproportionate attention. The study contributes to the OC literature by identifying ‘soft’ resources that contribute to the development of logistics capabilities. The findings fill a significant vacuum in the literature on OC logistics by examining the intricate link between the tangible and intangible logistics resources required for improving logistics capabilities.
    @article{ranjitroyghatak-2023-1595,
  title={Analysis of Implementation Barriers to Logistics Systems Integration for Omni-Channel Retailing using an Integrated ISM-Fuzzy MICMAC Approach},
  author={Ranjit Roy  Ghatak},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={190--213},
  doi={10.31387/oscm0530383}
}
    Ranjit Roy  Ghatak (2023). Analysis of Implementation Barriers to Logistics Systems Integration for Omni-Channel Retailing using an Integrated ISM-Fuzzy MICMAC Approach. Operations and Supply Chain Management: An International Journal, 16(2), 190-213. https://doi.org/10.31387/oscm0530383
  5. Sequential Impact of Green Supply Chain Initiatives on Sustainable Performance: Food and Beverage Processing SMEs in Australia
    • Adeline Benjamin
    • Himanshu Shee
    • Tharaka de Vass
    Abstract Full PDF Cite DOI: 10.31387/oscm0530384
    External Pressure and Green Human Resource Management (GHRM) drive green initiatives but their synergistic effects on Green Supply Chain Initiatives (GSCIs) are yet to be explored. Moreover, results of three elements of the triple bottom line sustainability show mixed relationship in the order they affect each other. Drawing on the Natural Resource-Based View (NRBV) and institutional theory, this research empirically investigates a theoretical model by examining: first, the impact of GHRM practices and external pressures on GSCIs; second, the impact of GSCIs on environmental performance; and third, their sequential effects on social and economic performance. Cross-sectional survey data from 168 SMEs in the Food and Beverage sector in Australia were analysed using structural equation modeling. Results reveal that GHRM practices and external pressures have positive effects on GSCIs that in turn affects sequentially on environmental, social and economic performance. Social dimensions, however, have no significant effect on economic performance. Meanwhile, GSCIs mediate the relationships between GHRM practices and external pressures and environmental performance. Implications are drawn.
    @article{adelinebenjamin-2023-1596,
  title={Sequential Impact of Green Supply Chain Initiatives on Sustainable Performance:  Food and Beverage Processing SMEs in Australia},
  author={Adeline  Benjamin and Himanshu  Shee and Tharaka  de Vass},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={214--228},
  doi={10.31387/oscm0530384}
}
    Adeline  Benjamin, Himanshu  Shee, Tharaka  de Vass (2023). Sequential Impact of Green Supply Chain Initiatives on Sustainable Performance:  Food and Beverage Processing SMEs in Australia. Operations and Supply Chain Management: An International Journal, 16(2), 214-228. https://doi.org/10.31387/oscm0530384
  6. Determination of the Optimal Number of Forklifts in the Distribution Center Using the Queuing Network Model
    • Volodymyr Sysoiev
    • Yuri Kushn?ruk
    Abstract Full PDF Cite DOI: 10.31387/oscm0530385
    The functioning of modern distribution centers is impossible without the effective organization of the work of mobile material handling equipment, which is the main means of processing cargo flows in warehouses and directly affects the costs and time of warehouse operations. The article proposes the mathematical model for determining the optimal number of forklifts in the distribution center based on integer programming using the open queuing network model. The model reflects the peculiarities of the technological process of cargo handling in the distribution center and the participation of forklifts in it. Given the impossibility of using exact optimization methods because of the type of the objective function, the heuristic method is proposed for solving the problem, which allows for avoiding the complete enumeration of solutions and finding the optimal number of forklifts in a short time, considering different scenarios and operating modes of the distribution center. The advantage of this heuristic algorithm is its ability to determine the optimal number of service channels in high dimensional open queuing networks. The minimum of total service costs, which include operating costs for the maintenance of forklifts and cargo flow handling costs, were used as an optimization criterion. The model is an effective tool for decision making when equipping distribution centers with mobile material handling equipment.
    @article{volodymyrsysoiev-2023-1597,
  title={Determination of the Optimal Number of Forklifts in the Distribution Center Using the Queuing Network Model},
  author={Volodymyr  Sysoiev and Yuri  Kushn?ruk},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={229--241},
  doi={10.31387/oscm0530385}
}
    Volodymyr  Sysoiev, Yuri  Kushn?ruk (2023). Determination of the Optimal Number of Forklifts in the Distribution Center Using the Queuing Network Model. Operations and Supply Chain Management: An International Journal, 16(2), 229-241. https://doi.org/10.31387/oscm0530385
  7. Supply Chain Financing System Factors, Solutions, and Benefits: A Systematic Literature Review
    • Daud Fahmi Adhim
    • Nur Budi Mulyono
    Abstract Full PDF Cite DOI: 10.31387/oscm0530386
    Supply Chain Finance (SCF) improves the business efficiency and effectiveness of suppliers, distributors, buyers, and financial institutions within supply chain collaboration. SCF implementation has risen to prominence worldwide, smoothing physical, product, and information flows within the supply chain as a means of maximizing profits. Due to a lack of research into SCF-related factors, solutions and benefits, this paper utilizes a systematic literature review methodology and content analysis to examine 56 papers drawn from major academic databases. The findings incorporate theoretical framework reviews which help to explain how SCF solutions can leverage enhanced supply chain (SC) performance by demonstrating the potential application of SCF to assist facilitators, reduce obstacles to sustained SC performance and develop an integrated conceptual framework illustrating how SCF accelerated overall supply chain performance.
    @article{daudfahmiadhim-2023-1598,
  title={Supply Chain Financing System Factors, Solutions, and Benefits: A Systematic Literature Review},
  author={Daud Fahmi  Adhim and Nur Budi  Mulyono},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={242--253},
  doi={10.31387/oscm0530386}
}
    Daud Fahmi  Adhim, Nur Budi  Mulyono (2023). Supply Chain Financing System Factors, Solutions, and Benefits: A Systematic Literature Review. Operations and Supply Chain Management: An International Journal, 16(2), 242-253. https://doi.org/10.31387/oscm0530386
  8. EcoMCS: A Project Management Application Through Management Control Systems for Residential Construction Firms in Colombia
    • Milton Soto-Ferrari
    • Odette Chams-Anturi
    Abstract Full PDF Cite DOI: 10.31387/oscm0530387
    This research article aims to introduce a novel project management application, denominated EcoMCS, based on Management Control Systems (MCS) assessment to improve the performance of residential construction firms in Colombia. The study is grounded in the conceptualization of project management and MCS and builds upon an interview study conducted with managers of residential construction firms in the country. Our findings revealed that the economic dimension is the least developed, indicating a need for improvement. The project’s specific objectives include enhancing the MCS’s economic dimension, refining evaluation methods for goal fulfillment, implementing incentive programs, fostering decentralized decision-making, and nurturing human potential within residential construction firms. By addressing these objectives, the proposed EcoMCS application seeks to facilitate efficient and effective project management practices in the residential construction industry, ultimately contributing to more sustainable and cost-effective construction projects.
    @article{miltonsoto-ferrari-2023-1599,
  title={EcoMCS: A Project Management Application Through Management Control Systems for Residential Construction Firms in Colombia},
  author={Milton  Soto-Ferrari and Odette  Chams-Anturi},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={254--264},
  doi={10.31387/oscm0530387}
}
    Milton  Soto-Ferrari, Odette  Chams-Anturi (2023). EcoMCS: A Project Management Application Through Management Control Systems for Residential Construction Firms in Colombia. Operations and Supply Chain Management: An International Journal, 16(2), 254-264. https://doi.org/10.31387/oscm0530387
  9. Improving Lead Time Forecasting and Anomaly Detection for Automotive Spare Parts with A Combined CNN-LSTM Approach
    • Asmae Amellal
    • Issam Amellal
    • Hamid Seghiouer
    • Mohammed Rida Ech-Charrat
    Abstract Full PDF Cite DOI: 10.31387/oscm0530388
    This paper presents a solution to a challenge faced in the supply chain management of a spare parts distributor with a dispersed global supply network and local distribution network in Morocco. The problem is a lack of accurate lead time information, leading to difficulties in meeting customer demand. The proposed solution is a framework using an LSTM (Long Short Term Memory) model for lead time forecasting and anomaly detection. The framework combines CNN (Convolution neural network) -Bidirectional LSTM model for forecasting and an LSTM autoencoder with One-Class Support Vector Machine for anomaly detection. The data was obtained from a legal ERP system of a major automotive distributor in Morocco. The results show that the framework is effective in overcoming the lead time information issue, and the relevance of the methods used has been verified via precise performance indicators, such as the RMSE (Root of the mean of the square of the errors) testifying to the accuracy of the results and also through comparison with other models.
    @article{asmaeamellal-2023-1600,
  title={Improving Lead Time Forecasting and Anomaly Detection for Automotive Spare Parts with A Combined CNN-LSTM Approach},
  author={Asmae  Amellal and Issam  Amellal and Hamid  Seghiouer and Mohammed Rida  Ech-Charrat},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={265--278},
  doi={10.31387/oscm0530388}
}
    Asmae  Amellal, Issam  Amellal, Hamid  Seghiouer, Mohammed Rida  Ech-Charrat (2023). Improving Lead Time Forecasting and Anomaly Detection for Automotive Spare Parts with A Combined CNN-LSTM Approach. Operations and Supply Chain Management: An International Journal, 16(2), 265-278. https://doi.org/10.31387/oscm0530388
  10. Impact of Buyer's Ethical Environment on Supplier's Performance: A Trust-based Mediation Model
    • Amjad Ur Rehman
    • Adeel Ahmed
    • Asif Mahmood
    • Zahid Maqbool
    • Mazhar Iqbal
    Abstract Full PDF Cite DOI: 10.31387/oscm0530389
    This research aims to analyze the impact of buyer ethical environment on supplier performance with mediating role of trust. For this purpose, 177 responses were collected by surveying employees of procurement departments of the manufacturing and service industry. The finding of this research shows that buyers’ ethical environment has a strong positive impact on supplier performance, considering trust as a mediator. Similarly, the buyers’ ethical environment has a positive impact on the trust in a buyer-supplier relationship. The findings of this research can help procurement managers and executives to enhance supplier performance in their procurement department by facilitating suppliers and strengthening their trust in buyer-supplier relationships.
    @article{amjadurrehman-2023-1601,
  title={Impact of Buyer's Ethical Environment on Supplier's Performance: A Trust-based Mediation Model},
  author={Amjad Ur  Rehman and Adeel  Ahmed and Asif  Mahmood and Zahid  Maqbool and Mazhar  Iqbal},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={279--292},
  doi={10.31387/oscm0530389}
}
    Amjad Ur  Rehman, Adeel  Ahmed, Asif  Mahmood, Zahid  Maqbool, Mazhar  Iqbal (2023). Impact of Buyer's Ethical Environment on Supplier's Performance: A Trust-based Mediation Model. Operations and Supply Chain Management: An International Journal, 16(2), 279-292. https://doi.org/10.31387/oscm0530389
  11. Predictive Analytics to Improve Inventory Performance: A Case Study of an FMCG Company
    • Patdono Suwignjo
    • Lisda Panjaitan
    • Ahmed Raecky Baihaqy
    • Ahmad Rusdiansyah
    Abstract Full PDF Cite DOI: 10.31387/oscm0530390
    Predictive analytics is a methodology used to predict the outcome of future events with the use of historical data. Predictive analytics comes in very handy in various fields such as finance, manufacturing, healthcare, and even supply chain. Not only in those fields, but predictive analytics is also useful in managing inventory. However, we find that there is a lack of studies focusing on the implementation of predictive analytics to predict inventory status (overstock, understock) by considering inventory level and demand forecast. This study is inspired by a real-world problem at one of the largest FMCG companies in Indonesia. With so many product types to manage, this company often faces problems of understocked and overstocked inventory. This study attempts to solve that problem by employing big data and predictive analytics approaches. The gradient boosting model is used because it is an improvement of the decision tree model. The data that are used as predictors are inventory level, inventory week cover, historical sales, and demand forecast. The target variable for classification is inventory status which is divided into three classes, namely understock, normal, and overstock. Meanwhile, the target variable for the regression model is the amount of understock/overstock. The result of the classification model has an accuracy of 0.84 for category 1 products, 0.76 for category 2 products, and 0.74 for category 3 products. While the result of the regression model is an R2 of 0.89 for category 1 products, 0.76 for category 2 products, and 0.74 for category 3 products. The data that comes from the prediction model are visualized in a dashboard. The visualization dashboard displays the data using heatmaps and line graphs, so the information can be used for further analysis.
    @article{patdonosuwignjo-2023-1602,
  title={Predictive Analytics to Improve Inventory Performance: A Case Study of an FMCG Company},
  author={Patdono  Suwignjo and Lisda  Panjaitan and Ahmed Raecky  Baihaqy and Ahmad  Rusdiansyah},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={2},
  pages={293--310},
  doi={10.31387/oscm0530390}
}
    Patdono  Suwignjo, Lisda  Panjaitan, Ahmed Raecky  Baihaqy, Ahmad  Rusdiansyah (2023). Predictive Analytics to Improve Inventory Performance: A Case Study of an FMCG Company. Operations and Supply Chain Management: An International Journal, 16(2), 293-310. https://doi.org/10.31387/oscm0530390
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