Browsing by Author "Huber, S."

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Citation - Scopus: 10
Lean and Green Supplier Selection Problem: a Novel Multi Objective Linear Programming Model for an Electronics Board Manufacturing Company in Turkey
(Springer New York LLC, 2019) Çalık, A.; Paksoy, T.; Huber, S.
Even though various studies are proposed to evaluate and determine the best suppliers, studies generally consider similar factors such as cost, quality, delivery time etc. in the supplier selection problem. Nowadays, some lean and green issues such as on time (JIT) delivery, waste reduction, avoidance and treatment of hazardous materials, energy efficiency, occupational health and safety, corporate social responsibility, etc. started to be addressed together with the supplier selection process. Lean and Green Supply Chain Management (L-GSCM) is a dynamic field for companies to gain advantages in the competitive business market place. In the light of these concepts a new supplier selection process is developed for an electronics board manufacturing company in Turkey. We present an integrated approach which consists of three stages. In the first stage, the Fuzzy Analytic Hierarchy Process (FAHP) method is applied in order to determine the weights of the lean and green criteria with respect to different experts’ judgments using linguistic terms. At the second stage, linguistic judgments related to qualitative drivers are provided from decision makers. Then these fuzzy, judgements are aggregated by means of fuzzy group decision making and deffuzzified to crisp scores. The outputs of this stage are the quantitative data of a Multi-Objective Linear Programming (MOLP) model. In the third stage, a novel Fuzzy Weighted Additive Max-Min approach with Group Decision-Making (F-WAMG) is proposed and applied to guarantee that satisfaction degrees of each objective functions in the MOLP model are greater than or equal to their own weights. The proposed model and solution approach is applied to an electronics board manufacturing company in Turkey. The results point out that the proposed F-WAMG approach yields consistent satisfaction degrees with respect to weights of objectives that represent decision makers’ preferences and judgements. © 2019, Springer Nature Switzerland AG.
Preface
(Springer New York LLC, 2019) Paksoy, Turan; Weber, G.-W.; Huber, S.
[No abstract available]
Citation - Scopus: 25
Risk Management in Lean & Green Supply Chain: a Novel Fuzzy Linguistic Risk Assessment Approach
(Springer New York LLC, 2019) Paksoy, Turan; Çalık, A.; Yıldızbaşı, A.; Huber, S.
In today’s world, the pressure of competition considerably changed because of the increasing pressure of market competition, changes in customer expectations due to global warming and the globalization of the economy. Growing pressures in supply chain activities urge to companies to adopt new approaches by reducing waste and planning environmental friendly processes, such as recycling, reuse, and remanufacturing. There have been several studies proposed that lean activities can help make the case for environmental impact reduction to companies. Thus, most companies have reorganized their supply chain by the integrate the green activities through the balance of lean and green models simultaneously. According to this idea, they started to transfer some of their business process activities to external companies to be leaner & greener. Outsourcing can lead to cost reductions, meeting customer demand, reducing waste, gaining more flexibility and sharing of risks. Although outsourcing in the lean & green supply chain management brings benefits, companies can confront various risks. From this viewpoint, we propose a new fuzzy linguistic risk assessment approach to assess suppliers’ risks according to several criteria such as experience level of suppliers, criticality level of parts supplied, manufacturing technical requirements and complexity of parts supplied, effect of the deviations on the final product function, flexibility of suppliers, green activity level of suppliers, occupational health and safety risk, environmental risk and cooperation level of suppliers. For this purpose, an integrated solution approach that consists of four stages is applied. At the first stage, the relative weights of the criteria are calculated by asking the decision makers with the help of the pair-wise comparison matrix. At the second stage, suppliers’ scores are evaluated according to the selected criteria using linguistic variables. At the third stage, risk levels of suppliers are calculated. At the fourth stage, suppliers are assigned to risk groups according to their risk level action plans are determined. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed approach. © Springer Nature Switzerland AG 2019.