Yazar "Sari, Kazim" seçeneğine göre listele

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    Assessing the supply chain performance: a causal analysis
    (Springer, 2020) Bayraktar, Erkan; Sari, Kazim; Tatoglu, Ekrem; Zaim, Selim; Delen, Dursun
    Measuring the performance-related factors of a unit within a supply-chain is a challenging problem, mainly because of the complex interactions among the members governed by the supply chain strategy employed. Synergistic use of discrete-event simulation and structural equation modeling allows researchers and practitioners to analyze causal relationships between order-fulfillment characteristics of a supply-chain and retailers' performance metrics. In this study, we model, simulate, and analyze a two-level supply-chain with seasonal linear demand, and using the information therein, develop a causal model to measure the links/relationships among the order-fulfillment factors and the retailer's performance. According to the findings, of all the order-fulfillment characteristics of a supply-chain, the forecast inaccuracy was found to be the most important in mitigating the bullwhip effect. Concerning the total inventory cost and fill-rate as performance indicators of retailers, the desired service level had the highest priority, followed by the lead-time and forecast inaccuracy, respectively. To reduce the total inventory cost, the bullwhip effect seems to have the lowest priority for the retailers, as it does not appear to have a significant impact on the fill rate. Although seasonality (to some extent) influences the retailer's performance, it does not seem to have a significant impact on the ranking of the factors affecting retailers' supply-chain performance; except for the case where the backorder cost is overestimated.
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    The Effect of Green Purchasing Practices on Financial Performance under the Mediating Role of Environmental Performance: Evidence from Turkiye
    (Mdpi, 2023) Balin, Ali Ibrahim; Sari, Kazim
    This study aims to examine the impact of green purchasing practices (GPP) on the financial performance (FP) of companies and the mediating role of environmental performance (EP) in the context of Turkiye, a developing country. GPP are represented by their all-related activities, such as green supplier selection (GSS), green supplier development (GSD), green supplier collaboration (GSC), and green supplier evaluation (GSE). Although much attention has been paid to GPP and their impact on FP in recent years, empirical evidence is still needed, particularly for companies in developing countries. For this purpose, this study explores the effect of GPP on FP and the mediating role of EP with survey data obtained from 455 companies in Turkiye. The findings reveal that GPP, in general, make a positive contribution to both the EP and FP of companies in Turkiye. However, the two GPP sub activities, GSD and GSE, do not have a significant effect on EP, contrary to our expectation. In addition, it is found that EP causes a significant increase in FP and plays a partial mediating role in the effect of GPP on FP. The insight gained from this study is that the increase in FP brought directly by GPP and indirectly through the increase in EP may offset the additional cost posed by GPP. In fact, this is an important finding in terms of overcoming the obstacles encountered in the transition to GPP in developing countries.
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    Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance
    (Elsevier, 2010) Sari, Kazim
    This paper is aimed at providing a framework to help managers of a supply chain enterprise determine the appropriate operational and environmental conditions under which investing in radio frequency identification (RFID) technology is more beneficial. For this purpose, a four-echelon supply chain that is operated under different levels of collaboration is examined in a comprehensive simulation model. Results from the simulation model show that integrating RFID technology within a supply chain provides significantly greater benefits when the level of collaboration between the participants is more intensive. In addition, the results also show that these benefits are stronger when lead times are longer and/or when demand uncertainty in marketplace is lower. (C) 2010 Elsevier B.V. All rights reserved.
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    A Fuzzy Rule-Based Decision Support System for Determining the Level of Collaboration in a Supply Chain
    (Springer-Verlag Berlin, 2015) Sari, Kazim
    Today making a decision on the level of collaboration in a supply chain is very important problem for the managers of a supply chain. For the purpose of helping them make better decisions, in this research, we aim to develop a fuzzy rule-based decision support system. To achieve this, firstly, the factors that are important for the level of collaboration in a supply chain are extracted. Later, the fuzzy rules are established by using the related literature in SCM area. At this point, expert opinions are also used. Finally, applicability of the proposed fuzzy rule-based decision support system is demonstrated with an illustrative example.
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    Inventory inaccuracy and performance of collaborative supply chain practices
    (Emerald Group Publishing Limited, 2008) Sari, Kazim
    Purpose - This paper aims to explore the impact of inventory system inaccuracies on the benefits of collaborative supply chain practices under various supply chain scenarios. To achieve this purpose, two popular collaboration initiatives are considered in a four-stage supply chain. The first practice is a vendor managed inventory program where the distributor takes the full responsibility of managing the retailer's inventory. The second practice is a collaborative planning, forecasting, and replenishment program where all members work together to plan, forecast, and replenish the product. Design/methodology/approach - The study utilizes Monte Carlo computer simulation in an experimental design. Findings - The analysis suggests that while the inaccurate inventory records result in significant performance reductions for all supply chain configurations, their impact is substantially greater for the supply chains where members collaborate more closely on key supply chain management activities. In addition, the author also realize that the adverse impact of inaccurate inventory information is stronger under the conditions where lead times are shorter and/or where demand uncertainty in market place is lower. Practical implications - This analysis provides a means for practitioners to realize the importance of inventory accuracy to successful adaptation of collaborative supply chain practices. Moreover, this research also helps in understanding the supply chain conditions where the attempts of eliminating or reducing errors in inventory information are more crucial and more beneficial. Originality/value - Although there is a range of research focusing on collaborative practices, none of these studies considered the errors in inventory information. This is the first study to investigate the impact of inaccurate inventory information on the benefits of collaborative practices.
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    A modeling approach for evaluating green performance of a hotel supply chain
    (Elsevier Science Inc, 2018) Sari, Kazim; Suslu, Murat
    This study aims to develop a tool to evaluate and compare green performances of hotel supply chains. For this purpose, fifteen green criteria, which are then classified as basic green practices and advanced green practices, are extracted from related studies. Later, importance weights of these criteria are determined with the contributions of twenty hotel managers in Turkey. The results indicate that the basic green practices are regarded more important by the managers than the advanced ones. In addition, a fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is proposed to get a green performance score and a ranking for hotel supply chains. In this framework, it is also made possible to reveal the areas need to be improved for them to have a greater green performance. Finally, a numerical example is given to show the applicability and practicability of the proposed model. The results indicate that there is no single strategy to improve a hotel's green performance, but each hotel should analyze its own situation and then determine the most effective strategy accordingly.
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    Modeling of a Fuzzy Expert System for Choosing an Appropriate Supply Chain Collaboration Strategy
    (Taylor & Francis Inc, 2018) Sari, Kazim
    Nowadays, there has been a great interest for business enterprises to work together or collaborate in the supply chain. It is thus possible for them to gain a competitive advantage in the marketplace. However, determining the right collaboration strategy is not an easy task. Namely, there are several factors that need to be considered at the same time. In this regard, an expert system based on fuzzy rules is proposed to choose an appropriate collaboration strategy for a given supply chain. To this end, firstly, the factors that are significant for supply chain collaboration are extracted via an extensive review of literature. Then, a simulation model of a supply chain is constructed to reveal the performance of collaborative practices under various scenarios. Thereby, it is made possible to establish fuzzy rules for the expert system. Finally, feasibility and practicability of our proposed model is verified with an illustrative case.
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    On the benefits of CPFR and VMI: A comparative simulation study
    (Elsevier, 2008) Sari, Kazim
    This paper aims to help managers of a supply chain to determine an appropriate level of collaboration according to their specific business conditions. For this purpose, a comprehensive simulation model representing two popular supply chain initiatives, that are collaborative planning, forecasting and replenishment (CPFR) and vendor-managed inventory (VMI), is constructed. In addition, a traditionally managed supply chain (TSS) is also included in the model as a benchmark. The results indicate that benefits of CPFR are always higher than VMI. However, we also realize that under certain conditions, the gap between the performances of CPFR and VMI does not rationalize the additional resources required for CPFR. Especially, when the lead time is short and/or when available manufacturing capacity is tight, a careful consideration has to be given on the selection of an appropriate collaboration mode. (C) 2008 Elsevier B.V. All rights reserved.
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    The role of forecasting on bullwhip effect for E-SCM applications
    (Elsevier Science Bv, 2008) Bayraktar, Erkan; Koh, S. C. Lenny; Gunasekaran, A.; Sari, Kazim; Tatoglu, Ekrem
    The bullwhip effect represents the information distortion in customer demand between orders to supplier and sales to the buyer. Demand forecasting is one of the main causes of the bullwhip effect. The purpose of this study is to analyze the impact of exponential smoothing forecasts on the bullwhip effect for electronic supply chain management (E-SCM) applications. A simulation model is developed to experiment the different scenarios of selecting right parameters for the exponential smoothing forecasting technique. It is found that longer lead times and poor selection of forecasting model parameters lead to strong bullwhip effect in E-SCM. In contrast, increased seasonality helps to reduce the bullwhip effect. The most significant managerial implication of this study lies in the need to reduce lead times along the E-supply chain to mitigate the bullwhip effect. While high seasonality would reduce the forecast accuracy, it has a positive influence on the reduction of bullwhip effect. E-SCM managers are therefore strongly suggested to utilize exponential smoothing by selecting lower values for alpha and beta and a mid-value for gamma to keep the bullwhip ratio low, while at the same time to increase forecast accuracy. (c) 2007 Elsevier B.V. All rights reserved.
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    Selection of RFID solution provider A fuzzy multi-criteria decision model with Monte Carlo simulation
    (Emerald Group Publishing Limited, 2013) Sari, Kazim
    Purpose - The purpose of this paper is to provide a comprehensive framework to help managers of a business enterprise effectively evaluate candidate RFID solution providers and then select the most suitable one. Design/methodology/approach - The selection of an RFID solution provider is modeled as a new hybrid fuzzy multi-criteria decision making problem. The proposed decision model is based on integration of Monte Carlo simulation with fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. In addition, an illustrative case is used to exemplify the proposed approach. Findings - A quantitative methodology based on a structured framework, for the selection of the most appropriate RFID solution provider. Practical implications - This research study is a very useful source of information for managers of a business enterprise in making decisions about evaluation and selection of RFID solution providers or RFID system integrators. Originality/value - This study addresses the evaluation and selection of RFID solution providers for the managers of a business enterprise and proposes a new hybrid decision-making methodology for the problem.
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    Service quality and intention to recommend in low-cost and full-service airlines in Turkey
    (Springer, 2022) Sari, Kazim; Sener, Abdullah Alper
    This study contributes to the knowledge of airline service quality in Turkey. The aim is to investigate the relationship between service quality and intention to recommend in the context of competitive strategies. For this purpose, a survey study under fuzzy environment is performed in Istanbul, Turkey. After comparing service quality and intention to recommend in full-service and low-cost airlines, a binary logistic regression model is constructed to reveal the factors that are important for intention to recommend. The results show that low-cost airlines in Turkey have substantially lower service quality scores and intention to recommend. Furthermore, the model points out empathy, tangibles, and responsiveness as the significant quality dimensions for intention to recommend. However, reliability and assurance dimensions have been found insignificant along with all control variables of age, gender, travel type, travel frequency, travel purpose, airline company, income level, and education level.