One of the issues that has gained importance within the scope of the United Nations Sustainable Development Goals (SDGs) is the issue of food waste. These goals, which represent very important and urgent problems to be solved at the global level, are extremely critical in terms of sustainability. Food waste, by its nature at the intersection of economic, social, and environmental sustainability goals, has become a global problem linked to key challenges in the global environment in terms of food security, climate change, malnutrition, and economic sustainability. The fact that consumers are one of the most important factors affecting food waste in the transition to a circular economy increases the importance of this study once again. Due to the lack of systematic, chronological studies showing how food waste develops over time, this study will examine the development and evolution of food waste research using a bibliometric analysis. In this way, it aims to gain a comprehensive insight into the field’s current state and shed light on this highly important area of study. In addition to informing policymakers, practitioners, and consumers with the results of this research, it is also aimed to support all relevant individuals, institutions, and organizations in the efforts to combat food waste. One of the main objectives of this study is to contribute to the achievement of the United Nations Sustainable Development Goals (SDGs). For this reason, it can be stated that the research has objectives in line with SDG 12: Responsible Consumption and Production and SDG 13: Climate Action.

En tr Supply chain disruptions can occur depending on internal and external factors and cause significant losses for all supply chain members. In order to cope with these disruptions, it is necessary to form resilient supply chain networks by pursuing holistic and proactive approaches. In the study, a resilient supply chain network design (SCND) problem is addressed under different disruption scenarios in a fuzzy environment by taking two of the most applied supply chain resilience strategies into account, namely the fortification of suppliers and using backup suppliers strategies. A two-stage integrated approach is proposed to solve the handled problem. The first stage includes the suppliers' evaluation process using the Fuzzy Analytic Hierarchy Process (F-AHP). A fuzzy Multi-Objective Linear Programming (F-MLP) model is developed to design the supply chain network in the second stage. The application of this approach is carried out on a realistic hypothetical problem and the results obtained and applicability of the proposed approach are discussed. Tedarik zinciri kesintileri, içsel ve dışsal faktörlere bağlı olarak ortaya çıkabilmekte ve tüm tedarik zinciri üyeleri için ciddi kayıplar doğurabilmektedir. Bu kesintiler ile başa çıkabilmek için bütüncül ve proaktif yaklaşımlar izlenerek esnek tedarik zincirleri oluşturmak gerekmektedir. Bu çalışmada esnek tedarik zinciri ağ tasarımı problemi, en çok uygulanan esnek tedarik zinciri oluşturma stratejilerinden tedarikçi güçlendirme ve yedek tedarikçi kullanma stratejilerini de göz önünde bulundurularak çeşitli kesinti senaryoları altında bulanık ortamda ele alınmıştır. Problemin çözümü için iki aşamalı bütünleşik bir yaklaşım önerilmiştir. Yaklaşımın ilk aşaması, Bulanık Analitik Hiyerarşi Prosesi ile tedarikçilerin değerlendirilmesini içermektedir. İkinci aşama ise tedarik zinciri ağ tasarımı için bir Bulanık Çok-Amaçlı Doğrusal Programlama modelinin oluşturulmasını kapsamaktadır. Yaklaşımın uygulaması, gerçekçi olarak üretilen bir problem üzerinde yapılmıştır. Elde edilen sonuçlar ve yaklaşımın uygulanabilirliği ile ilgili değerlendirmeler sunulmuştur.

Digital transformation undoubtedly has important implications on the discipline of Operations Management. To unveil these effects and interpret the future research directions requires an in-depth review and analysis of the scientific literature on this research area. This study uses a two-stage approach including Systematic Literature Review and bibliometric analysis to draw a broad perspective on the relationship between DT and OM, reveal the thematic evolution of this research area, and inference about potential future research directions. The scope of the analysis includes the articles drawn from the Web of Science and Scopus databases published between 2007 and 2021 in this research area. With the descriptive analysis of 3021 selected articles to the research sample, top articles, authors, countries, journals, and keywords in this research field were determined. Following the descriptive analysis of the data, the co-occurrence analysis of keywords, thematic evolution, and thematic map analysis was conducted using RStudio and VOSviewer.. All bibliometric analyzes were performed using the R Bibliometrix package.

This chapter addresses vehicle routing problem with time windows (VRPTW), one of the most well-known combinatorial optimization problems with many real-world applications in the transportation sector. This chapter proposes a three-stage approach for VRPTW and presents an application of this approach to a real-life problem. The stages of the approach include clustering of customers, determining feasible routes and their criteria values for each cluster, and selecting the best routes for each cluster based on multi-criteria decision analysis. In the first stage of the proposed approach, a fuzzy c-means (FCM) clustering-based assignment algorithm is used. The second stage includes predicting travel times between nodes based on GPS data with support vector regression (SVR) and applying the proposed feasible route determination and criteria value calculation algorithm using these predictions and other inputs. In the last stage, routes are selected with the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) for each cluster.