Abstract
In today’s global marketplace, individual firms do not compete as independent entities rather as an integral part ofa supply chain. Therefore, coordination and integration of key business activities undertaken by an enterprise, is ofgreatest value. For succeed in this competitive world, organizations must focus on their excellence position fromEFQM perspective. This paper proposes a fuzzy mathematical programming model for supply chain planningwhich considers excellence score, geographical score and capacity of each supplier and manufacturer anddistributor. The model has been formulated as a fuzzy mixed-integer linear programming model where some dataare fuzzy and modeled by triangular fuzzy numbers. This paper has been done in Sazeh Gostar Saipa Company inIran. This company supplies required automobile parts for SAIPA manufacturing group. Results show that thismodel can be applied for designing excellent supply chain network and has significant managerial implications.
Highlights
This paper proposes a fuzzy mathematical programming model for supply chain planning which considers excellence score, geographical score and capacity of each supplier and manufacturer and distributor
This paper has been done in Sazeh Gostar Saipa Company in Iran. This company supplies required automobile parts for SAIPA manufacturing group. Results show that this model can be applied for designing excellent supply chain network and has significant managerial implications
The European Foundation for Quality Management (EFQM) Excellence Model is based on the logical assumption that there is an internal structure between the enabler criteria, which could be expressed as follows: leadership drives policy and strategy, people management and partnerships and resources, and these three elements influence the results through suitable processes
Summary
Many companies have been trying to optimize their production and distribution systems separately, but using this approach limits any possible increase in profit. When looking back into the fuzzy modeling, e.g., developing the fuzzy evaluation system to measure supply chain (SC) performance, selecting the vendor by fuzzy approach, managing the inventory level by fuzzy supply and demand, deciding the stock policy by fuzzy inventory cost, optimizing the schedule and distribution, using fuzzy logic to develop an intelligent agent for SCM, and applying the fuzzy multi-objective approach to solve the production/distribution network in a SC are significant areas (Wen, et al, 2010). Peidro, et al (2009) propose a fuzzy mathematical programming model for supply chain planning which considers supply, demand and process uncertainties. Liang and Cheng (2009) applied fuzzy sets to integrating manufacturing/distribution planning decision (MDPD) problems with multi-product and multi-time period in supply chains by considering time value of money for each of the operating cost categories. They developed the framework by using the basic structure of the EFQM model
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
