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The increasing amount of carbon emissions has caused global warming and challenged the sustainable development of environment. Governments around the world have implemented carbon policies including carbon cap-and-trade policy. In this paper, we focus on how a two-echelon supply chain manages its carbon footprints in production and inventory under carbon cap-and-trade policy. We extend the classical EOQ (economic order quantity) model and study decisions on production-inventory, carbon trading and emission reduction investment in the decentralized and centralized situations. The results show that emission permit sharing can effectively reduce the total cost and total carbon emissions of the supply chain. Moreover, the manufacturer's emission reduction effort rises with the increase of the buying and selling prices of emission permits under centralized decision-making. In addition, a compensation mechanism is proposed for the centralized supply chain with emission permit sharing. It is observed that the buying and selling prices of emission permits have a positive influence on the permit sharing price in the compensation mechanism. Meanwhile, the retailer pays less for using the emission permits if it has a higher carbon cap, while the manufacturer with a higher carbon cap is more capable to provide a high compensation for the retailer. [ABSTRACT FROM AUTHOR]

Perishable food supply chain required special attention concerning "timely delivery supervision" that may have quality, safety and environmental effects throughout with transportation duration aspects which leads to create economic differences of product value. Consequently, the development of food quality and safety has achieved significant importance. Therefore, the development of perishable food supply chain transportation network needed to more explored to fill the gap of timely supervision. Respectively, the multi-objective conceptual simulation model is developed to optimize the cost, environmental effect, quality and safety, and the appropriate transportation facility at field level connected with perishable food supply chain transportation system. In this study, perishable food lifetime variations are significantly structured as the Weibull random approach, and product perishability is supposed to be influenced by transport refrigerator application, which is assumed as the decision variable. Apart from, multiple vehicle types and multiple perishable food types are taken. The perishable food supply chain case is examined and, the associations and interrelations of all aspects of sustainability are studied, which is known as the multi-objective model of sustainability. According to the findings, by emphasising the cost factors for highly perishable commodities, the supply chain's environmental impact may increase by 108%, and the social impact may rise by 45% for transportation networks with field refrigeration facilities. Additionally, a 23% increase in economic awareness could increase supply chain structure design sustainability by 137%. Environmental impact and the unpredictability of perishable foods are also seen as important variables that might have a variety of effects on the supply chain's structure and operation. This study contributes the cold supply chain's sustainable development objectives while enhancing the quality and safety of perishable products. The results propose that policy makers can significantly decrease the environmental and social effects of the supply chain even without considerably compromising the cost aspect. • To prevent environmental effects on food quality and safety, perishable items must be delivered quickly. • Sustainable transportation approach reduces waste and losses associated with perishable supplies. • By applying the right sustainable perishable food supply chain model, environmental effects can be reduced. • The choice and implementation of best plan depends on the analysis of the regional supply chain. [ABSTRACT FROM AUTHOR]

This paper examines contingent rerouting strategy for enhancing supply chain resilience taking a supplier's point of view. We consider a supply chain with multiple suppliers at each stage and establish a mathematical model for product allocation behavior among different suppliers. The allocation model is based on each supplier's production capacity, product quality, production cost, as well as possible decision maker's preferences. As a performance measure for rerouting strategy, we use the total outflow of the supply chain. We propose an optimization model and its solution determines the rerouting strategy for product flow through the supply chain under disruptions. Numerical examples demonstrate the effect of the rerouting strategy and show the resilience of the supply chain. [ABSTRACT FROM AUTHOR]

Abstract: This paper investigates the issue of channel coordination for a supply chain facing stochastic demand that is sensitive to both sales effort and retail price. In the standard newsvendor setting, the returns policy and the revenue sharing contract have been shown to be able to align incentives of the supply chain’s members so that the decentralized supply chain behaves as well as the integrated one. When the demand is influenced by both retail price and retailer sales effort, none of the above traditional contracts can coordinate the supply chain. To resolve this issue, we explore a variety of other contract types including joint return policy with revenue sharing contract, return policy with sales rebate and penalty (SRP) contract, and revenue sharing contract with SRP. We find that only the properly designed returns policy with SRP contract is able to achieve channel coordination and lead to a Pareto improving win–win situation for supply chain members. We then provide analytical method to determine the contract parameters and finally we use a numerical example to illustrate the findings and gain more insights. [Copyright &y& Elsevier]