This paper presents a joint economic lot size model for a single manufacturer-a single buyer. The purposed model involves the greenhouse gas emission from industrial and transport sectors. We divide the emission into two types, namely the direct and indirect emissions. In this paper, we consider the Government's penalty and incentive policies to reduce the emission. We assume that the demand of the buyer is normally distributed and partially backordered. The objective is to minimize joint total cost incurred by a single manufacturer-a single buyer and involves the transportation costs of the freight forwarder. Transportation costs are the function of shipping weight, distance, fuel price and consumption with two transportation modes: truckload and lessthan-truckload shipments. Finally, an algorithm procedure is proposed to determine the optimal order quantity, safety factor, actual shipping weight, total emission and frequency of deliveries. Numerical examples and analyses are given to illustrate the results.

Abstract:In order to identify the optimal structure of an electricity power network under the main assumption of a price dependent demand of electrical energy, we presented an optimization model that aims at analyzing the effect of price-dependent demand on the sustainable electrical supply chain system (SESCS). The system included a power generation system, transmission and distribution substations, and many customers. The electrical energy was generated and transmitted through multiple substations to our customers, and the demand for electricity by the customers is dependent on the price of electricity. In the study, we considered the transmission and the distribution costs which depend on the capacities of power generation, transmission rates and distances between stations. We utilized the inventory theory to develop our model and proposed a procedure to derive an optimal solution for this problem. Finally, numerical examples and sensitivity analysis are provided to illustrate our study and consolidate managerial insights.

This paper presents a systematic review and bibliometric analysis in sustainable supply chain’s futuristic technologies. The analysis involves 1596 articles published in the Scopus database from 1990 to 2020. The analysis examines the research outcomes by observing trends in journals, authorship, and keywords. The outcomes are visualized using VOSviewer to show the graphical network of co-authorship and the author’s keywords. The results show that this research area has been a growing trend since 2016 and by 2020. The Journal of Cleaner Production was a leading journal in this area between 2016 and 2020, followed by Sustainability (Switzerland). The content analysis led to a classification of the articles into four main categories and sub-categories. The strategic diagram is used to reveal the emerging research themes analysis during the last 5 years (2016–2020) and to present future research. The data trending or emerging shows that technologies such as the technology by using combustion energy, renewable energy, and electric vehicles have been developing substantially. The research hotspots of the sustainable supply chain include, i.e., life cycle assessment (LCA), green investment, and carbon tax. Finally, the analysis also shows the research gaps that point a direction for future research. Graphical abstract

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