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

Volume 11, Issue 2, 2018

  1. An Improved Efficient Algorithm for Time Dependent Vehicle Routing
    • Xin Chen
    Abstract Full PDF Cite DOI: 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{xinchen-2018-1422,
  title={An Improved Efficient Algorithm for Time Dependent Vehicle Routing},
  author={Xin  Chen},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={2},
  pages={55--65},
  doi={10.31387/oscm0310201}
}
    Xin  Chen (2018). An Improved Efficient Algorithm for Time Dependent Vehicle Routing. Operations and Supply Chain Management: An International Journal, 11(2), 55-65. https://doi.org/10.31387/oscm0310201
  2. Development of a Disaster Relief Logistics Model Minimizing the Range of Delivery Time
    • Kei Kokaji
    • Yasutaka Kainuma
    Abstract Full PDF Cite DOI: 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{keikokaji-2018-1423,
  title={Development of a Disaster Relief Logistics Model Minimizing the Range of Delivery Time},
  author={Kei  Kokaji and Yasutaka  Kainuma},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={2},
  pages={66--72},
  doi={10.31387/oscm0310202}
}
    Kei  Kokaji, Yasutaka  Kainuma (2018). Development of a Disaster Relief Logistics Model Minimizing the Range of Delivery Time. Operations and Supply Chain Management: An International Journal, 11(2), 66-72. https://doi.org/10.31387/oscm0310202
  3. Understanding Intra-organisational Information Dependency: An Empirical Network Analysis of Vietnamese Freight Forwarding Industry
    • Leon Teo
    • Duy Dang-Pham
    • Mathews Nkhoma
    • Thanh-Thuy Nguyen
    Abstract Full PDF Cite DOI: 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{leonteo-2018-1424,
  title={Understanding Intra-organisational Information Dependency: An Empirical Network Analysis of Vietnamese Freight Forwarding Industry},
  author={Leon  Teo and Duy  Dang-Pham and Mathews  Nkhoma and Thanh-Thuy  Nguyen},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={2},
  pages={73--81},
  doi={10.31387/oscm0310203}
}
    Leon  Teo, Duy  Dang-Pham, Mathews  Nkhoma, Thanh-Thuy  Nguyen (2018). Understanding Intra-organisational Information Dependency: An Empirical Network Analysis of Vietnamese Freight Forwarding Industry. Operations and Supply Chain Management: An International Journal, 11(2), 73-81. https://doi.org/10.31387/oscm0310203
  4. Use of Quantitative and Qualitative Methods for Modelling Green Supply Chains
    • Blanka Tundys
    Abstract Full PDF Cite DOI: 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{blankatundys-2018-1425,
  title={Use of Quantitative and Qualitative Methods for Modelling Green Supply Chains},
  author={Blanka  Tundys},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={2},
  pages={82--97},
  doi={10.31387/oscm0310205}
}
    Blanka  Tundys (2018). Use of Quantitative and Qualitative Methods for Modelling Green Supply Chains. Operations and Supply Chain Management: An International Journal, 11(2), 82-97. https://doi.org/10.31387/oscm0310205
  5. An Integrated Lean Supply Chain Framework for U.S. Hospitals
    • Subhajit Chakraborty
    • Jorge A. Gonzalez
    Abstract Full PDF Cite DOI: 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{subhajitchakraborty-2018-1426,
  title={An Integrated Lean Supply Chain Framework for U.S. Hospitals},
  author={Subhajit  Chakraborty and Jorge A.  Gonzalez},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2018},
  volume={11},
  number={2},
  pages={98--109},
  doi={10.31387/oscm0310206}
}
    Subhajit  Chakraborty, Jorge A.  Gonzalez (2018). An Integrated Lean Supply Chain Framework for U.S. Hospitals. Operations and Supply Chain Management: An International Journal, 11(2), 98-109. https://doi.org/10.31387/oscm0310206
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