A multi-objective Environmental Hedging Point Policy with customer satisfaction criteria

2018 ◽  
Vol 179 ◽  
pp. 478-494 ◽  
Author(s):  
Mohammadbagher Afshar-Bakeshloo ◽  
Ali Bozorgi-Amiri ◽  
Seyed Mojtaba Sajadi ◽  
Fariborz Jolai
Keyword(s):  
Customer Satisfaction ◽  
Multi Objective ◽  
Hedging Point Policy

scholarly journals A fuzzy dynamic multi-objective, multi-item model by considering customer satisfaction in supply chain

2017 ◽  
Vol 24 (5) ◽  
pp. 2623-2639 ◽  
Author(s):  
Shabnam Fazli Besheli ◽  
Ramazan Nemati Keshteli ◽  
Saeed Emami ◽  
Seyedeh Mansooreh Rasouli
Keyword(s):  
Supply Chain ◽  
Customer Satisfaction ◽  
Multi Objective

A FUZZY MULTI-OBJECTIVE MODEL OF QFD PRODUCT PLANNING INTEGRATING KANO MODEL

2008 ◽  
Vol 16 (06) ◽  
pp. 793-813 ◽  
Author(s):  
LI-FENG MU ◽  
JIA-FU TANG ◽  
YI-ZENG CHEN ◽  
CHUN-KIT KWONG
Keyword(s):  
Customer Satisfaction ◽  
Product Development ◽  
New Product Development ◽  
Quality Function Deployment ◽  
Integrative Approach ◽  
Kano Model ◽  
Solution Approach ◽  
Multi Objective ◽  
Proposed Model ◽  
Objective Model

Quality function deployment (QFD) is a well-known customer driven system and tool for planning and managing new product development. House of quality (HOQ) is used to translate customer requirements (CRs) into each stage of a product development in QFD. In the conventional QFD model, constant coefficients are employed to present the relationships between “What matrix” and “How matrix” and among “How matrixes". In order to break the hindrance of the representation of simple linear function in the structure of HOQ, an integrative approach considering Kano model into QFD planning are employed, and processes are performed in uncertain and vague environments. Therefore, a fuzzy multi-objective model (FMOQFD-Kano) is proposed to reconcile the tradeoff between customer satisfaction and cost. Not only customer satisfaction is taken into account, but also cost is considered in the proposed model. Moreover, a fuzzy solution approach is applied to solve the model for preferred solutions under different alpha-levels, which can give decision-maker more choices to cater for uncertain environment. An example is presented to illustrate the applicability of the proposed model.

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