Coordination mechanisms in a two‐stage green supply chain: analyzing the impact of transportation decisions on environment

Abstract

In this study, the distributor in charge of freight transport is responsible for replenishing the buyer's inventory level, with the government intervening in the supply chain to reduce greenhouse gas (GHG) emissions. In the proposed model, a periodic review replenishment policy is applied by the buyer, whereby the distributor is responsible for determining the optimal review period. Therefore, a game theory approach is used to show how government intervention influences the replenishment decisions, transportation, and safety factor. Due to the government constraint imposed to control GHG emissions, the distributor has to set a longer review period involving fewer trucks, resulting in his/her decision leading to more shortage costs for the buyer. The results of four numerical examples indicate that the buyer is not given any incentives to cooperate with the distributor due to his/her reduced revenue. Hence, this study proposes two‐part tariff (TPT) and cost‐sharing (CS) contracts to increase the profitability of both players. Finally, the results show that both coordination mechanisms can effectively coordinate the supply chain, but the TPT contract can also reduce GHG emissions. Furthermore, in all scenarios where the government constraint is implemented, the number of unfilled trucks in each replenishment inventory has been decreased.

A multi-objective optimization model of truck scheduling problem using cross-dock in supply chain management: NSGA-II and NRGA

“…Joo and Kim (2013) proposed a multi-door cross-docking model where, in addition to inbound and outbound trucks, there were trucks that could act as both inbound and outbound trucks. Among the research conducted in the field of multi-door cross-docking, we can mention Liao et al (2013), Lee et al (2012), Konur and Golias (2013), Kuo (2013), Darzi Ramandi et al (2021), Xu et al (2019), Ji et al (2020) and Costa et al , 2019).…”

Multi-objective Optimization Model of Truck Scheduling Problem using Cross-Dock in Supply Chain Management: NSGA-II & NRGA

“…Then, they provided a solution method using a meta-heuristic algorithm to solve large size problems. Among the conducted researches in the field of multi-door transit dock, we can mention Liao et al (2013), Lee et al (2012), Konur & Golias (2013), and Kuo (2013), Darzi Ramandi et al (2021, Xu et al (2019), Ji et al (2020;Costa et al 2019).…”

Managing production and inventory in a remanufacturing supply chain with two classes of cores under consignment stock agreement

“…Second, the buyer is considered to have sufficient storage space in our setting, but the fact that the warehouse space is limited plays an important role in making operational decisions (Sen et al., 2020). Third, it may be worth studying the roles of government subsidies (Zhang et al., 2022) or carbon emission regulations (Darzi et al., 2023) in remanufacturing. Finally, it is also worth studying other strategic alliances and coordination mechanisms like vendor‐managed inventory (Sainathan and Groenevelt, 2019), in joint with the remanufacturing of multi‐type cores.…”