Nowadays, businesses focus on sustainable supply chain management to gain economic, environmental, and social benefits. In reference to the criteria determined, selecting sustainable suppliers for the three dimensions of sustainability and for the companies operating in different sectors from these dimensions enables the business to become stronger in the market. In this study, sustainable supplier selection criteria were classified as quantitative and qualitative using the information obtained from the literature research. Later, by comparing Dickson’s criteria with Ghoushchi’s criteria, Dickson’s criteria were classified within the framework of triple bottom line. The solution to the sustainable supplier selection problem of a business that produces sustainable agricultural machines in Turkey using criteria selected from the classification was performed with Mamdani-type fuzzy inference system.
This chapter explores the use of Internet of things (IOT) technology in the supply chain management specific to perishable food items. The chapter explores the effect of IOT technology to solve the inefficiency problems of supply chain. The past and present literature mainly focuses on the use of IOT technology to limited analytical models and empirical studies. The studies reviewed mainly focuses on the implementation of IOT to manufacturing systems. The further chapter also focuses on the use of IOT tech to the perishable supply chain with few identified areas.
The concept of green and sustainable freight transport practices is evolving rapidly and attracted the attention of academic researchers and transport practitioners. This chapter provides a review of green and sustainable freight transport practices measure for providing a better understanding of evolving research fields. The literature review considered 20 years of research data for analyzing the research pattern. This chapter uses bibliometric and network analysis for analyzing the scientific mapping of green and sustainable freight transport practices. The chapter also analyzes the most influencing research articles of the field, top contributing authors, organizations, and key research areas related to the field. The most explored research clusters are presented along with future research directions.
Urban expansion is basically the expansion of land toward the outskirt areas of the city. The rate of urban expansion in the countries like India is very high than the first world countries. In India, agricultural tract, forest area, wetland has been transformed into the built-up area near the fringe area. Most of the development of this area is unplanned, which influences negative externalities. For the future modeling and planning of this area, these negative externalities should be minimized. To measure the rate of urban expansion satellite images of four years have been used. This study reveals that because of the growth of the built-up areas most of the semi urban or villages have been transformed into the urban land area, which is mainly unplanned. For the sustainable development of the area, these unplanned growth should be minimized. The land use and land cover maps used in this study will be helpful for future modeling and planning of this area. This type of study will be helpful to take immediate measures to reduce the problem of urban expansion and to maintain the urban sustainability of the region.
Nowadays, environmentally friendly operations became more critical; therefore, the sustainability concept has been evolved as new ways of thinking in supply chain operations. In that sense, the performance assessment of the sustainable supply chains needs a holistic structure covering the entire supply chain. Given the need to ensure supply chain sustainability, the performance assessment of logistics activities is critical. This chapter aims to measure the logistics performance of a furniture manufacturing company. The framework consists of three sustainable logistics performance key criteria; namely, sustainable procurement, sustainable distribution, and reverse logistics. First, the weights of the criteria were calculated by the fuzzy analytic hierarchy process. Weighted scoring method is used to compute the whole logistics performance. “Remanufacturing of materials,” “On-time delivery,” and “Using eco-labeled materials” were found as the most important factors for determining the logistics performance.
Service quality management is one of the vital roles to be managed during the process of supply chain management in an organization. The objective of this chapter is to prioritize the service process design in heritage tourism, where a dearth of such study was noticed during a systematic literature review. The prioritization was done using fuzzy multicriteria decision-making with Kano analysis. The data have been collected from overall 263 inbound tourists visiting the five famous heritage sites located in the golden triangle circuit in India through fuzzy Kano questionnaire. It resulted in a classification of 24 service attributes into four fuzzy Kano factors, namely, must-be quality, one-dimensional quality, attractive quality, and indifferent quality. Service blueprint was utilized to visualize the prioritization done through fuzzy Kano analysis. It resulted in the identification of seven service blueprint stages, namely, vehicle parking, ticket purchase, entry gate, heritage site tour, shopping souvenir, resting at the park, and depart. The given study would be useful for the destination marketing organizations, tourism policymakers, tourism managers to critically analyze the factors responsible for bringing the changes in tourist experiences while visiting a place. It can help to build a robust service delivery process, an essential aspect of supply chain management and further can help increase inbound tourists’ satisfaction and inflow at the place.