A model to evaluate supply chain performance and flexibility

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2011

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Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

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Abstract

In present day's global competitive environment, enterprises have to focus on their supply chain performance to have a competitive advantage. Improving the effectiveness of the system is the only way to do so and, for this purpose, ongoing supply chain activities have to be inspected in pursuant of some performance measurements and metrics to cover the concept. There is a lack of effective mathematical models in the literature which enclose flexibility and its parameters in order to measure the performance of a supply chain by considering all of its vital elements. In this paper, a mathematical model is proposed to evaluate supply chain performance using some key performance indicators. This model can be used to evaluate the flexibility characteristics of logistic, market, supplier, machine, labor, information system, and routing of the supply chain.

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BAC, UGUR/0000-0003-3195-0829
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Keywords

Supply chain management, logistics, linear programming

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Citation

3

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N/A

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Volume

5

Issue

11

Start Page

4263

End Page

4271

URI

https://hdl.handle.net/20.500.14411/8532

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