Integration of QFD, AHP, and LPP methods in supplier development problems under uncertainty

Shad, Zahra; Roghanian, Emad; Mojibian, Fatemeh

doi:10.1007/s40092-014-0051-0

Cited by 8 publications

(8 citation statements)

References 38 publications

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“…A model for supplier development using the partial least square structural equation model (PLS SEM) was developed in [24]. The authors in [25] recommended that the selection of suppliers for SI be done through some non-traditional multi-objective optimizations. A Bayesian information criteria (BIC) approach was evaluated in [26].…”

Section: Methodologies Usedmentioning

confidence: 99%

An Artificial Bee Colony Algorithm Based on a Multi-Objective Framework for Supplier Integration

et al. 2019

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Featured Application: Supplier chain management, Industry production, Efficient industry management, global business management, smart manufacturing. Abstract: Modern day industries strive to obtain long-term supplier integrations (SI) with potentially stronger supplier groups, to achieve fast and reliable production. This paper studies the process of selecting vendors, while simultaneously considering the aspects of random factors, multiple criteria, and efficiently reaching optimal solutions to improve the SI. A framework was developed that consists of three layers of expert opinions, supplier requirements, and multi-objective bee colony optimization. The model factors affecting the SI decision were explored from the comprehensive relevant literature, and these factors were shortlisted and prioritized. Routines for the modeled framework were coded by using the proposed algorithms which were implemented for a real-world problem from a manufacturing small and medium enterprise (SME) in Pakistan. Optimization of SI was carried out on an archived artificial bee colony (AABC). Its effectiveness was also evaluated by comparison with simple artificial bee colony (ABC) and particle swarm algorithms. The methodologically calculated results, obtained from simulation of a mathematically reinforced optimization framework, are highly beneficial for the industry, as well as local and international suppliers. A detailed and in-depth evaluation of suppliers was provided by the sensitivity analysis, which presented a more rigorous authentication and elaboration of the results. The presented framework is the first of its kind for the SMEs of Pakistan and can be applied with little modification to other industries. competitive business climate, companies cannot afford undue delays in supply orders. From small industries to mega projects, the supply chain plays an important role in achieving production goals [2].A sound number of these challenges can be successfully handled if enterprises can develop long-term win-win relationships with well-matched international and national prospective suppliers. Therefore, the concept of supplier integration (SI) has been recently proposed by different researchers to enable enterprises to conveniently cope with these dynamic supply chain business issues [3][4][5][6]. SI is the concept for improving the part of the supply chain between manufacturers and their respective suppliers of ingredients, raw materials, packaging, etc. By sharing information between parties, the suppliers and buyers are able to exercise judgment on costs, quantities, timing of deliveries, production streamline product flow, and to create a collaborative relationship [7]. However, this strategy is coupled with a number of problems. The demographic location of countries, their economic status, product categories, and the capabilities of suppliers are some of the main factors affecting the decision regarding selection of suppliers and long-term integration with the manufacturer [8].The literature shows that different factors...

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Section: Methodologies Usedmentioning

confidence: 99%

An Artificial Bee Colony Algorithm Based on a Multi-Objective Framework for Supplier Integration

et al. 2019

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“…(2) In order to complete the product design, must use the axiomatic design theory Z-shaped decomposition of the highest level of FRS and DPS decomposition to form a detailed design, and design must meet the independent axiom. Will be determined by the last level of the highest level of FR and DP to form a relatively complete design, and they were placed to the quality of the building parts of the left wall and ceiling, so that the customer's requirements can be carried out in depth to the product The whole design process [17][18]. Finally, according to the functional requirements and design parameters of the quality of housing design parameters in the importance of each sub-functional design to determine the order, so as to improve product design efficiency, shorten the product life cycle, and reduce production costs.…”

Section: Integrated Innovation Model Based On Qfd and Admentioning

confidence: 99%

Research on Enterprise ERP System Functionality Design Under Mass Customization Environment

Ling¹,

Fan²,

Reng³

2018

dtcse

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Abstract. In view of the characteristics of complementary advantages between the quality function deployment (QFD) and theory of axiomatic design (AD). An innovative integrated model based on QFD and AD is proposed, and studying the structure of the integrated model and its implementation process specifically. Making the innovative integration model applied to corporate ERP systems to do detailed design, and thus shortening the enterprise product development life cycle, reducing enterprises production costs and eventually bring more benefits.

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“…They proposed a three-stage QFD in order to consider customers' requirements, extend the whole design process, and calculate the priorities of the left-hand-side elements in HOQ by implanting ANP. Reference [40] has proposed integrated approach that includes AHP, QFD and Linear Physical Programming (LPP) to maximize overall customer satisfaction under uncertain conditions and apply them in the supplier development problem. Reference [41] has carried out a literature review on QFD and software engineering.…”

Section: Figure 1 the Basic Building Blocks Of House Of Quality -Qfdmentioning

confidence: 99%

“…Reference [83] proposed combination of fuzzy logic with HOQ into QFD for the creation of the eco-friendly product. Reference [40] used a set of fuzzy data to address linguistic values parameterized by triangular fuzzy numbers. They have included AHP, QFD and LPP to maximize overall customer satisfaction under uncertain conditions and apply them in the supplier development problem.…”

Section: Fuzzy Qfdmentioning

confidence: 99%

Fuzzy Quality Function Deployment in Online Shopping Websites - Literature Review

Sharma¹,

Khandait²

2016

IJHIT

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Integration of QFD, AHP, and LPP methods in supplier development problems under uncertainty

Cited by 8 publications

References 38 publications

An Artificial Bee Colony Algorithm Based on a Multi-Objective Framework for Supplier Integration

An Artificial Bee Colony Algorithm Based on a Multi-Objective Framework for Supplier Integration

Research on Enterprise ERP System Functionality Design Under Mass Customization Environment

Fuzzy Quality Function Deployment in Online Shopping Websites - Literature Review

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