scholarly journals An improved multi-choice goal programming approach for supplier selection problems

2015 ◽  
Vol 39 (14) ◽  
pp. 4213-4222 ◽  
Author(s):  
O. Jadidi ◽  
S. Cavalieri ◽  
S. Zolfaghari
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Programming Approach ◽  
Selection Problems

A fuzzy goal programming approach for selecting sustainable suppliers

2017 ◽  
Vol 24 (5) ◽  
pp. 1138-1165 ◽  
Author(s):  
Peeyush Pandey ◽  
Bhavin J. Shah ◽  
Hasmukh Gajjar
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Qualitative Data ◽  
Fuzzy Goal Programming ◽  
Programming Approach ◽  
Two Phase ◽  
Content Type ◽  
Lean Practices ◽  
Proposed Model ◽  
Fuzzy Goal

Purpose Due to the ever increasing concern toward sustainability, suppliers nowadays are evaluated on the basis of environmental performances. The data on supplier’s performance are not always available in quantitative form and evaluating supplier on the basis of qualitative data is a challenging task. The purpose of this paper is to develop a framework for the selection of suppliers by evaluating them on the basis of both quantitative and qualitative data. Design/methodology/approach Literature on sustainability, green supply chain and lean practices related to supplier selection is critically reviewed. Based on this, a two phase fuzzy goal programming approach integrating hyperbolic membership function is proposed to solve the complex supplier selection problem. Findings Results obtained through the proposed approach are compared to the traditional models (Jadidi et al., 2014; Ozkok and Tiryaki, 2011; Zimmermann, 1978) of supplier selection and were found to be optimal as it achieves higher aspiration level. Practical implications The proposed model is adaptive to solve real world problems of supplier selection as all criteria do not possess the same weights, so the managers can change the criteria and their weights according to their requirement. Originality/value This paper provides the decision makers a robust framework to evaluate and select sustainable supplier based on both quantitative and qualitative data. The results obtained through the proposed model achieve greater satisfaction level as compared to those achieved by traditional methods.

Supplier Selection by Using the Goal Programming Approach

2021 ◽  
pp. 435-444
Author(s):  
Mahmoud Shahrokhi ◽  
Zahra Sobhani ◽  
Alain Bernard
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Programming Approach

scholarly journals Supplier Selection Analysis Using Minmax Multi Choice Goal Programming Model

CAUCHY ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 97-104
Author(s):  
Novi Rustiana Dewi ◽  
Eka Susanti ◽  
Bambang Suprihatin ◽  
Endro Setyo Cahyono ◽  
Anggun Permata ◽  
...  
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Production Control ◽  
Programming Model ◽  
Order Quantity ◽  
Selection Problems ◽  
Goal Programming Model ◽  
Trading Activities ◽  
A Company ◽  
Three Factor

Production control, inventory and distribution is an important factor in trading activities. These three factors are discussed in a system called Supply Chain Management (SCM). Procurement of goods from a company or trading business related to suppliers. In some cases, there are several supplier that can be assessed by considering certain factors. In certain cases, the data from several factors that are considered are uncertainty, so the fuzzy approach can be used. The MINMAX Multi Choice Goal Programming model can be used to solve fuzzy supplier selection problems with linear membership function. It can be applied to selecting supplier of Brastagi Oranges. There are four suppliers, namely Jaya, Mako, Baros.  Gina. There are three factor to consider, cost, quality and delivery. The decision maker select the best supplier for ordering 17000 kg Brastagi oranges. The results, the best supplier is Gina with an order quantity of 10000 kg and Mako with a total order of 7000 kg

scholarly journals A Hybrid Model for Green Supplier Selection and Order Allocation: DEMATEL, ANP, and Multi-criteria Goal Programming Approach

2021 ◽  
Vol 20 (2) ◽  
pp. 147
Author(s):  
Dana Marsetiya Utama ◽  
Anindya Apritha Putri ◽  
Ikhlasul Amallynda
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Programming Approach ◽  
Order Allocation ◽  
Green Supplier Selection ◽  
Proper Order ◽  
Network Process ◽  
The Relationship

Increased competition in the industrial world forces companies to increase their competitiveness through Green Supply Chain Management (GSCM). The key to the success of GSCM is the selection of suppliers and the allocation of the proper order by taking into account environmental aspects. This decision involves several criteria and must also pay attention to the relationship between criteria. This study proposes a hybrid procedure to solve Green Supplier Selection and Order Allocation (GSSOA). The integration of Decision Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP), and Multi-Criteria Goal Programming (MCGP) are proposed to solve this problem. The DEMATEL is used to calculate the relationship between criteria. Furthermore, the ANP is proposed to determine the weight of the criteria and supplier ranking. Finally, the MCGP method is offered for allocating orders based on priority suppliers. A case study on the food industry in Malang, Indonesia, was conducted to apply this procedure. The results showed that the low defects rate criterion is the most important compared to other criteria. The best supplier was successfully selected, and the order allocation was completed. Order allocation priority is to suppliers D, C, A, and B. This study also presents a sensitivity analysis for order allocation.

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