Vol 1 No 1-2 (2020)
January 2020 - June 2020
Vol 1 No 1-2 (2020)
January 2020 - June 2020
Issue Information
Articles
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The last century has witnessed extant studies on the applications of Management Science (MS) to a diverse set of Supply Chain Management (SCM) issues. This paper provides an overview of the contribution of MS within SCM. A framework is developed in this paper with a sampling of MS contributions to major SCM dimensions. Future research directions are presented.
The last century has witnessed extant studies on the applications of Management Science (MS) to a diverse set of Supply Chain Management (SCM) issues. This paper provides an overview of the contribution of MS within SCM. A framework is developed in this paper with a sampling of MS contributions to major SCM dimensions. Future research directions are presented.
The last century has witnessed extant studies on the applications of Management Science (MS) to a diverse set of Supply Chain Management (SCM) issues. This paper provides an overview of the contribution of MS within SCM. A framework is developed in this paper with a sampling of MS...
Jafar Rezaei, David L. Olson, Joseph Sarkis3-14 -
The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using SCOPUS and EBSCO Business search engines. Articles were classified by supply chain function. Additional papers reflecting technology, to include RFID use and text analysis were separately reviewed. The paper concludes with discussion of potential research issues and outlook for future development.
The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using SCOPUS and EBSCO Business search engines. Articles were classified by supply chain function. Additional papers reflecting technology, to include RFID use and text analysis were separately reviewed. The paper concludes with discussion of potential research issues and outlook for future development.
The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using...
David L. Olson15-26 -
Road transportation has been the dominant mode for inland freight transportation for decades. Rail and waterways transportation are less frequently used alternatives, but in general more attractive from an environmental perspective. Even though many policies promoting the use of intermodal transportation have been proposed, they have had little impact to trigger shippers to shift mode from road transportation to rail or inland waterways transportation. One main reason might be that the requirements of shippers towards transportation modes are still not well understood. Hence this research investigates freight transportation mode choice with a new approach, multi-criteria decision analysis, as well as from the perspectives of different types of industries and experts. Reviewing the literature, the requirements for transportation modes are abstracted into a set of criteria, including transportation cost, door-to-door travel time, on-time reliability, flexibility, frequency, and reduction of CO2 emissions. As the importance of these factors might be different for different industries, we consider four segments: the manufacturing industry, the agriculture industry, the perishable food industry, and the chemical industry. Data from practitioners, industry experts, and academics are collected via online questionnaires and analyzed using the ‘best worst method’ (BWM) to identify weights for the mentioned criteria. The results indicate that transportation cost is viewed as the most important, closely followed by on-time reliability, while reduction of CO2 emission is viewed as the least important. Several comparison studies are conducted to see any difference in the importance of these factors with respect to different industries or respondent groups.
Road transportation has been the dominant mode for inland freight transportation for decades. Rail and waterways transportation are less frequently used alternatives, but in general more attractive from an environmental perspective. Even though many policies promoting the use of intermodal transportation have been proposed, they have had little impact to trigger shippers to shift mode from road transportation to rail or inland waterways transportation. One main reason might be that the requirements of shippers towards transportation modes are still not well understood. Hence this research investigates freight transportation mode choice with a new approach, multi-criteria decision analysis, as well as from the perspectives of different types of industries and experts. Reviewing the literature, the requirements for transportation modes are abstracted into a set of criteria, including transportation cost, door-to-door travel time, on-time reliability, flexibility, frequency, and...
Road transportation has been the dominant mode for inland freight transportation for decades. Rail and waterways transportation are less frequently used alternatives, but in general more attractive from an environmental perspective. Even though many policies promoting the use of intermodal...
Lorant Tavasszy, Geerten van de Kaa, Wan Liu27-44 -
This study discusses a multi-criteria approach to locating biogas, solar and wind power plants that significantly addresses the challenge of global warming caused by power generation. Because the utility of locations to build renewable energy power plants depends on economic, social and environmental dimensions, after reviewing literature, the sustainable frameworks of criteria affecting the location of biogas, solar and wind power plants were examined in this paper. The offered frameworks are applied to determining the site of biogas, solar, and wind power plants in Iran. The provinces of Iran are assessed as alternatives in this paper. To compute the weight of criteria in the offered framework, data from a sample of experts in Iran are used via an online survey form designed based on the best-worst method (BWM). Using the results of the BWM and the performance data, the overall score are calculated for the various provinces of Iran. The results of this study indicate that energy saving, effect on resources and natural reserves and wind flow, respectively, are the most effective factors for determining the place of biogas, solar and wind power plants, and South Khorasan, Khuzestan, and Khuzestan show the best result for establishing biogas, solar, and wind power plants in Iran respectively.
This study discusses a multi-criteria approach to locating biogas, solar and wind power plants that significantly addresses the challenge of global warming caused by power generation. Because the utility of locations to build renewable energy power plants depends on economic, social and environmental dimensions, after reviewing literature, the sustainable frameworks of criteria affecting the location of biogas, solar and wind power plants were examined in this paper. The offered frameworks are applied to determining the site of biogas, solar, and wind power plants in Iran. The provinces of Iran are assessed as alternatives in this paper. To compute the weight of criteria in the offered framework, data from a sample of experts in Iran are used via an online survey form designed based on the best-worst method (BWM). Using the results of the BWM and the performance data, the overall score are calculated for the various provinces of Iran. The results of this study indicate that...
This study discusses a multi-criteria approach to locating biogas, solar and wind power plants that significantly addresses the challenge of global warming caused by power generation. Because the utility of locations to build renewable energy power plants depends on economic, social and...
Siamak Kheybari, Fariba Mahdi Rezaie45-71