Browsing by Author "Paksoy, T."

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Fuzzy Decision-Making
(CRC Press, 2023) Torğul, B.; Paksoy, T.
In this chapter, the subject of the supplier selection problem using a fuzzy decision-making approach, judging by the impact of smart and sustainable operations, was studied. Nine smart and nine sustainable criteria were determined to evaluate five alternative suppliers and consider them as two distinct groups. The two-objective model developed for the solution of the problem tries to maximize the smartness and sustainability values of the supply separately while meeting the problem-specific constraints. The coefficients for the objective functions were obtained by evaluating the smart and sustainable maturity levels of the potential suppliers, and the aim was to purchase more from suitable suppliers according to the relative importance of the objectives. Then the developed multi-objective model was advanced fuzzy linear programming by benefitting from fuzzy decision-making to get the optimum solution to the problem. Afterward, different smart and sustainability weight pairs were determined considering the expectations of the decision-makers, and the results obtained from all scenarios were analyzed by applying the weighted additive method. © 2023 selection and editorial matter, Turan Paksoy and Muhammet Deveci; individual chapters, the contributors.
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.
Citation - Scopus: 15
Lean and Green Supply Chain Management: a Comprehensive Review
(Springer New York LLC, 2019) Engin, Batuhan Eren; Martens, M.; Paksoy, T.
Companies and enterprises are becoming more and more aware of reducing their environmental impact of supply chains due to the pressures of various stakeholders; i.e. government and law enforcement bodies, customers and employees. Recently, the deployment of lean and green practices in supply chains, either sequential or consolidated, has attracted attention among academicians and practitioners. This attention is evident by the growing number of publications in scientific journals on lean and green supply chain management (LGSCM), which have been published in recent years. However the number of review papers in the literature is insufficient to present existing literature on LGSCM and provide future directions for researchers and practitioners. Hence, the aim of this paper is to review recently published papers on LGSCM in scientific journals. For this review, a total of 41 papers published between 2000 and 2017 were selected and reviewed. The papers are analyzed and categorized to present the current literature and highlight the future directions for academicians and practitioners. © Springer Nature Switzerland AG 2019.
Citation - WoS: 17
Citation - Scopus: 29
A Novel Hybrid Decision-Making Framework for Measuring Industry 4.0-Driven Circular Economy Performance for Textile Industry
(John Wiley and Sons Ltd, 2024) Ali, S.S.; Torgul, B.; Paksoy, T.; Luthra, S.; Kayikci, Y.
The sustainability strategy focuses on conscious production and consumption, with the circular economy (CE) as an innovative approach to maximize resource value and minimize waste. Industry 4.0 technologies like AI, robotics, and blockchain play a significant role in enhancing the competitiveness of businesses pursuing the CE. These advanced technologies help organizations achieve their sustainability goals, particularly within the CE framework. The study analyses how Industry 4.0-driven CE practices impact sustainable business performance, using the Indian textile industry as a case study. The researchers developed a three-stage hybrid decision-making framework, integrating various methods to assess sustainable performance. A novel three-stage hybrid decision-making framework was developed by integrating Kendall's agreement test (Kendall's W), fuzzy Delphi, best–worst method (BWM), full consistency method (FUCOM), and combined compromise solution (CoCoSo) methods. The findings highlight positive outcomes such as enhanced incentives, government support, greener logistics, and improved monitoring of emissions, waste, and pollution. However, there is room for further improvements to address market demand and increase the profitability of green products. © 2024 ERP Environment and John Wiley & Sons Ltd.
Project Management
(CRC Press, 2023) Demiralay, E.; Paksoy, T.; Deveci, M.
Project management has many benefits. First, it enables the effective use of people, tools, materials, money, and information, and the timely achievement of the company’s goals. Second, project management provides performance and customer satisfaction at an affordable cost, on time, and at the desired level. Third, project management helps protect the business against changing social, economic, political, and technical constraints. © 2023 selection and editorial matter, Turan Paksoy and Muhammet Deveci; individual chapters, the contributors.
Citation - Scopus: 1
Total Productive Maintenance
(CRC Press, 2023) Demiralay, E.; Paksoy, T.; Deveci, M.
Equipment maintenance is one of the essential activities required for companies to continue producing or serving healthily. However, many companies do not pay sufficient attention to maintenance activities. As a result of insufficient or non-performing maintenance activities, situations such as failure to produce quality products, equipment breakdowns, and production taking longer than expected may be observed. To avoid problems like these, from the early 1950s to 1971, preventive maintenance activities have been viral. However, in 1971, total productive maintenance, aiming for zero stop, zero defect, and zero breakdowns emerged with the development of preventive maintenance techniques by the president of the Japan Institute of Plant Maintenance. In this book chapter, how TPM tools are used is demonstrated with the digital lean software of Digitoverse, a software and consultancy company. It was explained how TPM tools were affected by the technological developments under Industry 4.0, which emerged with the increasingly competitive environment and cost pressures. © 2023 selection and editorial matter, Turan Paksoy and Muhammet Deveci; individual chapters, the contributors.