Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Abstract

With the global awareness of sustainability issues, sustainable development is being increasingly recognized by governments and industries. In addressing these issues, organizations worldwide have taken initiatives in adopting sustainability practices in their supply chain transferring it to sustainable supply chain management. In order to establish a responsible sustainable supply chain management, an effective way would be to make sure that the potential suppliers for procuring required components are precisely assessed and evaluated based on sustainable criteria. Therefore, this paper proposes a practical decision making approach to evaluate and select the most sustainable suppliers for an automotive spare part manufacturer licensed under a France-based automotive organization. Firstly, a requirement gathering approach, the audition check-list approach, is designed to facilitate the process of data gathering for supplier evaluation based on three pillars of sustainability. Next, the gathered data are processed using a proposed fuzzy inference system to remove impreciseness and vagueness in the gathered sustainability related data. The strength of this model falls into its applicability in data gathering phase which helps decision makers in manufacturing company to perform a fast audition of a typical supplier. Secondly, the final sustainable ranking of suppliers using the proposed fuzzy inference system provide a precise and less uncertain sustainability performance scoring which makes the developed approach a reliable system for making sustainable sourcing decisions. Comparison and sensitivity analysis are performed to evaluate the proficiency of the developed approach. Finally, theoretical and managerial implications together with conclusions of the study are presented.

A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain

“…Besides, the lot-sizing problem, firstly introduced by Wagner and Whitin (1958) to deal with sourcing decisions, is also among the most important challenges that most firms are faced with (Rezaei and Davoodi, 2012). Recently, many researchers tried to combine the supplier selection and order lot-sizing problems in order to align various strategies that are available for buyers (Weber et al, 2000;Aissaoui et al, 2007;Demirtas and Üstün, 2008;Songhori et al, 2011;Fazlollahtabar et al, 2011;Şenyiğit, 2012;Tavana et al, 2012;Azadnia et al, 2015;Sodenkamp et al, 2016;Ghadimi et al, 2017). The supplier selection and order allocation problem considers qualitative and quantitative criteria and influencing factors for supplier selection, and product purchasing and inventory costs for order allocation, and utilizes mathematical modelling techniques to incorporate the constraints of the combined systems (Mafakheri et al, 2011;Rezaei and Davoodi, 2012;Jaehn, 2016).…”

Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review

“…The majority of papers in SSS came up with grouping models or evaluation techniques that aid in selecting relevant suppliers or/and allocating orders among the suppliers (e.g., [67][68][69][70][71][72][73][74][75][76]). A few other studies developed decision support models for SSE in different sectors of the automotive industry, for instance, in logistics service providers ( [77][78][79]) and spare part suppliers [80]. A different study of this area was that of Govindan et al [81], who combined supply chain network design (SCND) with the order allocation problem in order to minimize procurement costs and environmental impacts of an automobile manufacturer in Iran.…”

“…The authors declare no conflict of interest. [47,[50][51][52][53][54]56,132,133,203,204,[209][210][211][212][213] Processes [5,48,51,52,55,56,[67][68][69][70][71][72][73][74][75][76][77][78]80,81,83,87,88,[93][94][95][97][98][99][101][102][103][104][105][106][10...…”

Evolutionary Game Analysis on Strategies in “Main Manufacturer–Supplier” Mode Considering Technology Docking and Price Concluding under Competition Condition

“…Actually, the earliest idea about the M-S mode was founded in the paper related to feed manufacturing [5]. In later contributions, researchers explored various aspects in the application of the M-S mode, including technology-related industry [6][7][8], textile and clothing industry [9], environmental sustainability [10,11], and complex product R&D [12,13]. Our work is related to the specific stream of literature on the complex product R&D. In the M-S mode of complex product R&D, both the manufacturer and the supplier not only share the payoff brought by the product, but also share the risk and the cost brought during the process of the R&D [14].…”