Lean and Green Supply Chain Management: Optimization Models and Algorithms PDF by Turan Paksoy, Gerhard-Wilhelm Weber and Sandra Huber

Contents

The book gathers 9 chapters, which are prepared by experts from various countries of the world on the lean and green supply chain management and on its theory, methods, and application. Short descriptions of all chapters are given subsequently, within some grouping by subjects.

Lean and Green Supply Chain Optimization

Chapter 1, named as “Lean and Green Supply Chain Management: A Comprehensive Review,” by Batuhan Eren Engin, Maren Martens, and Turan Paksoy, focuses on a comprehensive literature survey on lean and green supply chain management. In total, 41 articles, published between 2000 and 2017, are analyzed by the authors. One of the main goals is to classify the existing literature and analyze future directions in this research area. First, lean and green practices are described for important contributions. Second, measures and indicators are established to evaluate the impact of lean and green methods on the overall supply chain performance.

Chapter 2, entitled “A New Model for Lean and Green Closed-Loop Supply Chain Optimization,” by Turan Paksoy, Ahmet Çalik, Alexander Kumpf, and Gerhard-Wilhelm Weber, is dedicated to a new model for a lean and green closed loop automotive supply chain in order to provide an optimal distribution plan for several periods as well as for several echelons in the network. To solve such problems, six different objectives are included, such as the minimization of transportation cost, late deliveries, etc. One of the main contributions is the usage of a fuzzyweighted additive method,which employs a fuzzy analytic hierarchy process for the determination of the weights. In addition, the investigated framework can be utilized to understand the drivers in an integrated model.

Lean and Green Supplier Selection

Chapter 3, called as “Risk Management in Lean & Green Supply Chain: A Novel Fuzzy Linguistic Risk Assessment Approach” by Turan Paksoy, Ahmet Çalik, Abdullah Yildizba¸sı, and Sandra Huber, proposes a novel fuzzy linguistic risk assessment approach to evaluate risk management in lean and green supply chains. A solution approach with four stages is presented that, e.g., includes the determination of weights by the decision maker, the assignment of suppliers to risk groups, etc. Furthermore, a numerical investigation is carried out to show the applicability of the proposed method. In order to present managerial insights, the authors provide action plans which correspond to the different risk levels.

Chapter 4, named “A New Multi Objective Linear ProgrammingModel for Lean and Green Supplier Selection with Fuzzy TOPSIS,” by Belkız Tor˘gul and Turan Paksoy, examines the assessment of a multi-objective linear programming model for a supplier selection problem. Apart from financial factors, quantitative as well as qualitative factors that incorporate lean and green supply chain management are included in the model. The authors use a real-world case study involving the delivery of plastic parts in the automotive industry in Turkey to assess the performance and effectiveness of the proposed model.

Lean and Green Vehicle/Fleet Management

Chapter 5, entitled “The Impact of Routing on CO2 Emissions at a Retail Grocery Store Chain: A GIS-based Solution Approach,” by Ça˘grıKoç, Mehmet Erba¸s, and Eren Özceylan, introduces a variant of a pollution-routing problem in order to analyze a retail grocery store chain in Turkey. Thereby, special attention is paid to fuel consumption and CO2 emissions of the vehicles. The presented tabu search heuristic is able to provide managerial insights by investigating the trade-off between the number of vehicles and the shop demands. Furthermore, it is beneficial to gain further insights by visualizing the data and the solutions on a graphical user interface.

Chapter 6, named as “A Simulated Annealing Algorithm Based SolutionMethod for a Green Vehicle Routing Problem with Fuel Consumption,” by Kenan Karagul, Yusuf Sahin, Erdal Aydemir, and Aykut Oral, presents the development of a simulated annealing algorithm that provides decision support for a green vehicle routing problem with fuel consumption. Thereby, the total vehicle weight, the changes of the weight, and the distances have to be taken into account in a heuristic. The methodology is illustrated for selected test instances, and statistical analysis techniques are applied to compare the different methods.

Chapter 7, called “Development of a Web-Based Decision Support System for Strategic and Tactical Sustainable Fleet Management Problems in Intermodal Transportation Networks,” by Adil Baykaso˘glu, Kemal Subulan, A. Serdar Ta¸san, Nurhan Dudaklı, Murat Turan, Erdin Çelik, and Özgür Ülker, is devoted to a web-based decision support system for sustainable fleet management in intermodal transportation networks. The promotion of interactive decision support is of major importance in sustainable fleet planning. A decision maker seeks to minimize the overall transportation costs, the total transit times, and the CO2 emissions through the introduction of strategic as well as tactical fleet management. In this context, a decision support system is introduced to foster an international logistics company of Turkey.

Lean and Green Operations Management

Chapter 8, given the name “Integrated Production Scheduling and Distribution Planning with Time Windows,” by Saadettin Erhan Kesen and Tolga Bekta¸s, tackles an integrated production scheduling and distribution planning problem with time windows. Mainly, decisions must be made on two decision levels: the orders are processed through a set of identical parallel machines, and then, they must be delivered with a fleet of vehicles taking into consideration the time windows of the customers. After presenting a mathematical model, an in-depth analysis is given on the computational results.

Chapter 9, entitled “Achieving Shojinka by Integrated Balancing of Multiple Straight Lines with Resource Dependent Task Times,” by Yakup Atasagun, Yakup Kara, and Gözde Can Atasagun, addresses a mathematical model for a problem called multiple straight lines with resource-dependent task times. The goal is to incorporate the concept of Shojinka in order to attain flexibility on the number of workers. An illustrative example is given to validate the introduced model. Furthermore, the experimental study shows the benefits of an integrated approach of multiple assembly lines, such as, e.g., an average total cost improvement of around 23%.

With this book, we editors pursue various aims, stated as follows:

• To provide a compendium for all researchers who could become able to familiarize with those emerging research subjects that are of common practical and methodological interest to representatives of management, engineering, economics, and environmental protection;

• To offer an encyclopedia and a dictionary that will enable researchers and practitioners to access in a fast way the key notions of their domains and, via suitable methods and references, to proceed and to branch further on the way to treat their own, their institutes’, or institutions’ problems and challenges;

• To create an atmosphere in which the new generation of young scientists can advance, grow, and mature when reading this book and develop on their way of becoming recognized scholars;

• To initiate a momentum of encouragement and excitement, which could strongly foster interdisciplinary research, the solution of striking real-world problems, and a creative and fruitful cooperation and synergy among experts from all over the globe;

• To further introduce Springer Verlag as a premium publishing house on newest and most timely fields of scientific investigation and application and as a center of excellence.

Our work provides an excellent reference to graduate, postgraduate students, decision makers, and researchers in private domains, universities, industries, and governmental and non-governmental organizations, in the areas of various operational research, engineering, management, business, and finance, wherever one has to represent and solve uncertainty-affected practical and real-world problems.

In the future, mathematicians, statisticians, game theorist, physicist, chemists, and computer scientists, but also biologists, neuroscientists, social scientists, and representatives of the humanities, are warmly welcome to enter into this discourse and join the collaboration for reaching even more advanced and sustainable solutions. It is well accepted that predictability in uncertain environments is a core request and an issue in any field of engineering, science, and management. In this respect, this book opens a very new perspective; what is more, it has the promise to become very significant in academia and practice and very important for humankind!