Title of article :
An Integrated Approach of Fuzzy Quality Function Deployment and Fuzzy Multi-Objective Programming to Sustainable Supplier Selection and Order Allocation
Author/Authors :
Azadnia, Amir Hossein Department of Industrial Engineering - Ayatollah Amoli Branch - Islamic Azad University, Amol, Iran , Ghadimi, Pezhman University College Dublin, Ireland
Abstract :
The emergence of sustainability paradigm has influenced many research disciplines including supply chain management. It has drawn the
attention of manufacturing companies’ CEOs to incorporate sustainability in their supply chain and manufacturing activities. Supplier
selection problem, as one of the main problems in supply chain activities, is also combined with sustainable development where traditional
procedures are now transformed to sustainable initiatives. Moreover, allocating optimal order quantities to sustainable suppliers has also
attracted attention of many scholars and industrial practitioners, which has not been comprehensively addressed. Therefore, a practical
model of supplier selection and order allocation based on the sustainability Triple Bottom Line (TBL) approach is presented in this research
article. The proposed approach utilizes Fuzzy Analytical Hierarchy Process combined with Quality Function Deployment (FAHP-QFD) for
reflecting buyer’s sustainability requirements into the preference weights that are then exerted by an efficient Fuzzy Assessment Method
(FAM) to assess the suppliers to obtain their sustainability scores. Thereupon, these scores are utilized in a fuzzy multi-objective mixinteger
non-linear programming model (MINLP) for allocating orders to suppliers based on the manufacturer’s sustainability preference. A
real-world application of food industry is presented to show the practicality of the proposed approach.
Keywords :
Sustainability , Sustainable supplier selection , Fuzzy inference system , Order allocation , Fuzzy multi-objective nonlinear programming
Journal title :
Astroparticle Physics