1. OSCM Publications
  2. Volume 3, Issue 1, 2010

Volume 3, Issue 1, 2010

  1. Table of Contents Vol 3 No 1, 2010
    • OSCM Team
    Full PDF Cite DOI: 10.31387/oscm060032 
    @article{oscm-2010-406,
  title={Table of Contents Vol 3 No 1, 2010},
  year={2010},
  author={OSCM Team},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={3},
  number={1},
  doi={10.31387/oscm060032}
}
    OSCM Team (2010). Table of Contents Vol 3 No 1, 2010. Operations and Supply Chain Management: An International Journal, 3(1). https://doi.org/10.31387/oscm060032
  2. Ranking Operations Management Conferences
    • Harm-Jan Steenhuis
    • Erik-Joost de Bruijn
    Abstract Full PDF Cite DOI: 10.31387/oscm060033
    The purpose of this paper is to present a ranking of operations management conferences. Several publications have appeared in the field of Operations Management which rank related journals. Many academics also publish at conferences but we have not come across publications that rank conferences. Several ranking systems exist for journals based on, for example, perceived relevance and quality, citation, and author affiliation. . In this paper the first attempt is made in developing an operations management conference ranking based upon author affiliation. This is done in two steps. First, based on an analysis of contributions to operations management journals a ranking of affiliations is established. Then, this ranking is used to determine the author affiliation index for several conferences such as from the Production and Operations Management Society (POMS), European Operations Management Association (EurOMA), Operations and Supply Chain Management (OSCM), and the Operations Management Division of the Academy of Management (AoM). The results provide information for authors that help in deciding which operations management oriented conferences to attend. It was found that the AoM conference is on average the conference with the highest First Author Affiliation Index (FAAI) scores. It also scores the highest for the six journals combined in four of the six years. The POMS conference scored highest in three of the six years for the three US-based journals while the EurOMA conference scored highest in four of the six years for European-based journals. The findings can be used to make more informed decisions related to which operations management conference to attend based upon the assumption of quality of presented papers.
    @article{oscm-2010-407,
  title={Ranking Operations Management Conferences},
  year={2010},
  author={Harm-Jan Steenhuis and Erik-Joost de Bruijn},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={3},
  number={1},
  pages={1--13},
  doi={10.31387/oscm060033}
}
    Harm-Jan Steenhuis, Erik-Joost de Bruijn (2010). Ranking Operations Management Conferences. Operations and Supply Chain Management: An International Journal, 3(1), 1-13. https://doi.org/10.31387/oscm060033
  3. Environmentally-Conscious Supply Chain Design in Support of Food Security
    • Caroline C. Krejci
    • Benita M. Beamon
    Abstract Full PDF Cite DOI: 10.31387/oscm060034
    This paper seeks to design food supply chain structures that can provide food security for every person in the world while supporting long-term environmental sustainability. In particular, we provide alternatives to the current food supply chain structure and analyze their potential for providing food security, in terms of productive capacity and long-term environmental sustainability. Given the current world population and expected continued growth, our analysis suggests that environmentally-sustainable food supply chains would be most effectively supported by local and organic agriculture, while maintaining a parallel industrial agricultural system. This hybrid system would adopt environmentally-sustainable principles whenever possible, seeking to increase reliance on renewable inputs, reduce toxic outputs and maintain biodiversity.
    @article{oscm-2010-408,
  title={Environmentally-Conscious Supply Chain Design in Support of Food Security},
  year={2010},
  author={Caroline C. Krejci and Benita M. Beamon},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={3},
  number={1},
  pages={14--29},
  doi={10.31387/oscm060034}
}
    Caroline C. Krejci, Benita M. Beamon (2010). Environmentally-Conscious Supply Chain Design in Support of Food Security. Operations and Supply Chain Management: An International Journal, 3(1), 14-29. https://doi.org/10.31387/oscm060034
  4. Extension of a Bernoulli Demand Inventory Model
    • Pritibhushan Sinha
    Abstract Full PDF Cite DOI: 10.31387/oscm060035
    In this article a single-item, continuous monitoring (s, Q) inventory model with probabilistic demand following Bernoulli distribution and probabilistic lead time of order replenishment is considered. The model extends a Bernoulli demand inventory model, available in the literature. We allow a non-zero reordering inventory position. Some properties are shown for the model and a search method is given to find the optimal values of the policy parameters. A numerical experiment is done for the model and some observations are made.
    @article{oscm-2010-409,
  title={Extension of a Bernoulli Demand Inventory Model},
  year={2010},
  author={Pritibhushan Sinha},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={3},
  number={1},
  pages={30--35},
  doi={10.31387/oscm060035}
}
    Pritibhushan Sinha (2010). Extension of a Bernoulli Demand Inventory Model. Operations and Supply Chain Management: An International Journal, 3(1), 30-35. https://doi.org/10.31387/oscm060035
  5. An Alternative Approach using Genetic Algorithm Based Heuristics for Capacitated Maximal Covering Location Allocation Problem
    • S. Sarifah Radiah Shariff
    • Noor Hasnah Moin
    • Mohd Omar
    Abstract Full PDF Cite DOI: 10.31387/oscm060036
    The Maximal Covering Location Problem (MCLP) has the objective of maximizing the total demand volume covered by a facility within a maximum allowable travel distance, S. In this paper, three sets of data 30-node, 324-node and 818-node networks with no existing facilities are analyzed as the capacitated model of MCLP (CMCLP) and first solved by the commercial optimization software, CPLEX. As the software produces results which violate the capacity constraint when the constraints are tight, an alternative approach of Genetic Algorithm based heuristics is used to solve the problem for more competitive results. Combination of the best number of facilities to open and the random node order assignment is used to maximize the percentage of total demand covered. The approach is found to solve all the capacitated MCLP in shorter time and in more promising result compared to CPLEX. Finally, the result of the approach is presented and applied to analyze a “real-world” example on a selected area, Telok Panglima Garang, Selangor which is currently served by 5 public health care facilities. This is to explore the implications of the model as the area already has existing facilities and to provide insight on future decisions that can be made on the expansion and development of current facilities.
    @article{oscm-2010-410,
  title={An Alternative Approach using Genetic Algorithm Based Heuristics for Capacitated Maximal Covering Location Allocation Problem},
  year={2010},
  author={S. Sarifah Radiah Shariff and Noor Hasnah Moin and Mohd Omar},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={3},
  number={1},
  pages={36--48},
  doi={10.31387/oscm060036}
}
    S. Sarifah Radiah Shariff, Noor Hasnah Moin, Mohd Omar (2010). An Alternative Approach using Genetic Algorithm Based Heuristics for Capacitated Maximal Covering Location Allocation Problem. Operations and Supply Chain Management: An International Journal, 3(1), 36-48. https://doi.org/10.31387/oscm060036
  6. Effectiveness of Case Study in Enhancing Student Learning in Operations and Supply Chain Management
    • Mahour Mellat-Parast
    Abstract Full PDF Cite DOI: 10.31387/oscm060037
    The purpose of this study is to investigate the effectiveness of case study on student learning using Laboratory for Innovative Technology and Engineering Education (LITEE) case study. It has been proposed that student learning outcomes will be improved after using the case analysis. Seven constructs have been developed to measure different aspects related to student learning. Pre-assessment and post-assessment of student learning outcomes has been conducted to determine the effectiveness of case study approach in enhancing student learning. The results show that using case analysis significantly improves students’ higher-order cognitive domain of learning (HC) and self-efficacy (SE). The paper makes contribution to our understanding of the effectiveness of case study on improving learning outcomes of undergraduate students in operations management. Implications for educators and future research have been outlined.
    @article{oscm-2010-411,
  title={Effectiveness of Case Study in Enhancing Student Learning in Operations and Supply Chain Management},
  year={2010},
  author={Mahour Mellat-Parast},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={3},
  number={1},
  pages={49--58},
  doi={10.31387/oscm060037}
}
    Mahour Mellat-Parast (2010). Effectiveness of Case Study in Enhancing Student Learning in Operations and Supply Chain Management. Operations and Supply Chain Management: An International Journal, 3(1), 49-58. https://doi.org/10.31387/oscm060037
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