Vol 1 No 1-2 (2020)
January 2020 - June 2020 | In Progress
Vol 1 No 1-2 (2020)
January 2020 - June 2020 | In Progress
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 contributions...Jafar Rezaei, David L. Olson, Joseph Sarkis3-14
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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