Carbon footprint based multi-objective supplier selection problem with uncertain parameters and fuzzy linguistic preferences

Hashmi, Nausheen; Jalil, Syed Aqib; Javaid, Shakeel

doi:10.1016/j.susoc.2021.03.001

Cited by 12 publications

(5 citation statements)

References 35 publications

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“…It can be observed that the role of the concept of sustainability in relation with suppliers is constantly increasing (Fan et al 2021 ; Hosseini et al 2022 ). The expectations of buyers towards suppliers will focus more on reducing the consumption of raw materials and energy, as well as on reducing gas emissions (to reduce the carbon footprint) (Hashmi et al 2021 ). On the other hand, expectations towards suppliers regarding the implementation of the business continuity management concept should ensure the resilience of supply chains to possible disruptions (Hosseini et al 2019 ; Shin and Park 2021 ).…”

Section: Resultsmentioning

confidence: 99%

Expectations of manufacturing companies regarding future priorities of improvement actions taken by their suppliers

2022

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Purpose The paper concerns supply chains. It aims to identify the essential improvement actions that manufacturing companies expect their suppliers to take in the future rather than selection requirements already used in the assessment process. Within those improvement actions, the goal is to determine whether the size and management methods used in assessing companies affect these future expectations. Design/methodology/approach: Hypotheses were developed regarding the expectations of manufacturing companies and the factors influencing these expectations. Data collected from 118 companies from the Polish automotive, metal and chemical sectors were used to verify them. For this purpose, the U-Mann Whitney test was applied. Findings Manufacturing companies expect their suppliers to improve: (1) products, (2) processes, (3) organization management, (4) communication and (5) relationship, with the most important thing for them is the improvement of products and processes. It was found that the expectations regarding the contributors are influenced by whether the manufacturing company is a large or small enterprise or it uses or not the Toyota Production System. Lean Management and the ISO 14,001 Environmental Management System do not translate into these expectations. Originality/value : The article gives a new look at shaping relations between suppliers and customers in supply chains. Unlike most of the research to date, it does not concern the requirements that suppliers should meet at a given moment but focuses on the improvement actions they should undertake in the future. This paper adds important detail to understanding cooperation in B2B relations.

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Section: Resultsmentioning

confidence: 99%

Expectations of manufacturing companies regarding future priorities of improvement actions taken by their suppliers

2022

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“…Given the rise of environmental regulatory compliance pressure, companies are operating under new forms of constraint that include carbon footprints, waste, and energy consumption. To manage supplier selection under such constraints, Hashmi et al [40] combines goal programming and fuzzy concepts to construct a multi-objective supplier selection optimization problem in an uncertain environment. This approach is found to have effectively dealt with the human subjectivity problem by adopting a linguistic preference-based scale and studying the impact of supplier selection results on the environmental efficiency of the company.…”

Section: State Of the Art And Research Contributionmentioning

confidence: 99%

Dynamic small-series fashion order allocation and supplier selection: a ga-topsis-based model

Harale,

Thomassey,

Zeng

2023

Int. J. Ind. Optim.

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The fashion industry is currently confronted with significant economic and environmental challenges, necessitating the exploration of novel business models. Among the promising approaches is small series production on demand, though this poses considerable complexities in the highly competitive sector. Traditional supplier selection and production planning processes, known for their lengthy and intricate nature, must be replaced with more dynamic and effective decision-making procedures. To tackle this problem, GA-TOPSIS hybrid model is proposed as the methodology. The model integrates Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) evaluation into the fitness function of Genetic Algorithm (GA) to comprehensively consider both qualitative and quantitative criteria for supplier selection. Simultaneously, GA efficiently optimizes the order sequence for production planning. The model's efficacy is demonstrated through implementation on real orders, showcasing its ability to handle diverse evaluation criteria and support supplier selection in different scenarios. Moreover, the proposed model is employed to compute the Pareto front, which provides optimal sets of solutions for the given objective criteria. This allows for an effective demand-driven strategy, particularly relevant for fashion retailers to select supplier and order planning optimization decisions in dynamic and multi-criteria context. Overall, GA-TOPSIS hybrid model offers an innovative and efficient decision support system for fashion retailers to adapt to changing demands and achieve effective supplier selection and production planning optimization. The model's incorporation of both qualitative and quantitative criteria in a dynamic environment contributes to its originality and potential for addressing the complexities of the fashion industry's supply chain challenges

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“…Such sources are also diverse because there is no single rule to collect and report them (Shahin and Rezaei, 2018). These days with increasing globalization, supplier selection has become more complex (Hashmi et al, 2021) and purchasing raw materials has a direct impact on overall cost (Singh and Modgil, 2020). Based on the literature review, the research hypothesis is: H0.…”

Section: The Influence Of Sq Criteria On Sq Costsmentioning

confidence: 99%

The influence of the quality criteria on the quality cost of suppliers in SMEs

Masoudi

Shahin

2021

BIJ

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PurposeAfter quality costing, most companies do not know how to invest in supplier quality improvement. This study aims to develop a comprehensive model for the effect of supplier quality criteria on supplier quality costs.Design/methodology/approachThe independent variable of supplier quality criteria and the dependent variable of supplier quality costs have been identified based on a literature review. Then a model has been developed for the effect of the variables. A questionnaire has been designed and distributed to 158 small and medium enterprises (SMEs) in Jey Industrial Town located in the Isfahan Province. Structural equation modeling and partial least square structural equation modeling (PLS-SEM) have been used for data analysis.FindingsSupplier quality criteria influenced supplier quality costs (with a value of 0.711). The results also implied that organizational quality had the highest impact. The appraisal costs and the internal failure costs of purchasing received most of the influence. Also, process quality and consequential costs of failure purchasing had the lowest influencing and influenced values.Practical implicationsThe findings of this research encourage the managers of SMEs to evaluate and rank the most appropriate quality criteria related to quality costs for selecting a supplier as one of the most fundamental decisions in supply chain management.Social implicationsAppropriate selection of quality criteria influencing quality costs results in reduced quality cost. Quality cost reduction also results in decreased products' fixed prices. Ultimately, the company will have more competitive pricing, and consumers will benefit from such a significant advantage.Originality/valueStudying the influence of supplier quality criteria on supplier quality costs is relatively new in the manufacturing industry. The comprehensiveness of the investigated variables is also another advantage of the proposed model.

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Carbon footprint based multi-objective supplier selection problem with uncertain parameters and fuzzy linguistic preferences

Cited by 12 publications

References 35 publications

Expectations of manufacturing companies regarding future priorities of improvement actions taken by their suppliers

Expectations of manufacturing companies regarding future priorities of improvement actions taken by their suppliers

Dynamic small-series fashion order allocation and supplier selection: a ga-topsis-based model

The influence of the quality criteria on the quality cost of suppliers in SMEs

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