The Research of United Scheduling and Coordination in Three-Layer Supply Chain Model

2011 ◽  
Vol 341-342 ◽  
pp. 369-373
Author(s):  
He Ping Zhang

With the rapid development of the global economy, more and more enterprises emphasize on the coordination with the partners to improve the supply chain competitive capability. This paper focuses on the united scheduling of the three-layer supply chain and the coordination mechanisms of agile supply chain. The objective is to minimize the total transportation cost and improve the customer’s service level, which is achieved by scheduling the jobs and delivering them to the next stage in batches. Based on the features of the optimal scheduling, a dynamic programming algorithm is proposed.

2011 ◽  
Vol 382 ◽  
pp. 106-109
Author(s):  
Jing Fan

Supply chain scheduling problem is raised from modern manufacturing system integration, in which manufacturers not only process orders but also transport products to customer’s location. Therefore, the system ought to consider how to appropriately send finished jobs in batches to reduce transportation costs while considering the processing sequence of jobs to reduce production cost. This paper studies such a supply chain scheduling problem that one manufacturer produces with a single machine and deliveries jobs within limited transportation times to one customer. The objective function is to minimize the total sum of production cost and transportation cost. The NP hard property of the problem is proved in the simpler way, and the pseudo-dynamic programming algorithm in the literature is modified as the MDP algorithm to get the optimal solution which is associated with the total processing times of jobs.


2020 ◽  
Vol 55 (3) ◽  
pp. 337-371 ◽  
Author(s):  
Terrie Walmsley ◽  
Peter Minor

In 2018, the United States (US) Administration initiated several trade actions, including tariffs on China for unfair trade practices outlined by the US Trade Representative (USTR). In response, China filed requests for consultations with the World Trade Organization (WTO) and has implemented or threatened to implement increased tariffs on US products. In this article, the implications of current and potential US trade actions and responses by China on the US and global economy are estimated. We employ a dynamic supply chain model based on the widely used Global Trade Analysis Project (GTAP) Data Base and model. Our analysis finds that US gross domestic product (GDP) would be reduced by a projected –0.86 per cent in 2030 (or US$227.8 billion in 2017 dollars), as the role of the USA in global supply chains declines significantly. China’s GDP would also decline considerably by 2.84 per cent as a result of the actions imposed against it, while the rest of the world gain, as they fill the gaps left by US and Chinese producers. JEL: F16, C68


2019 ◽  
Vol 53 (5) ◽  
pp. 1807-1817
Author(s):  
Neng-Hui Shih ◽  
Ming-Hung Shu ◽  
Chih-Hsiung Wang

A previous paper proposed a supply chain model, comprised of a retailer and manufacturer, in which the manufacturer uses product pricing to maximize the profit of the entire supply chain. The increased profits gained from integration are then shared among all the supply chain members. The optimal pricing strategy was shown to be “products on consignment” for sale. The present study extends this simple two-layer supply chain model to a more complicated three-layer model, in which the supply chain comprises not only the retailer and manufacturer, but also an intermediate distributor. In contrast to the previous model, the present model not only considers the role of the distributor, but also the effects of product nonconformance at each facility in the supply chain. The profit function of each facility in the supply chain is established, including the sales revenue, procurement cost, and quality control cost. The investment cost at the retailer to improve the service level is also considered. It is shown that the total profit of the supply chain is maximized when the retailer’s optimal service level is adopted, where this service level is adjusted in accordance with the distributor’s unit sale price. Furthermore, after price integration, the overall profit of the supply chain is found to equal the retailer’s profit. In other words, the total profit of the manufacturer and distributor is equal to zero. Numerical examples are given to illustrate the proposed pricing integration model under different quality environments. The results are contrasted with those obtained using a traditional pricing model, namely the “make up on cost’’ model. Overall, the present results show that the manufacturer is always the winner under partial price integration (i.e., only the retailer and distributor join the integration). Furthermore, partial integration is far less profitable for the retailer and distributor than full integration.


2021 ◽  
Vol 60 (6) ◽  
pp. 6035-6052
Author(s):  
Shaktipada Bhuniya ◽  
Sarla Pareek ◽  
Biswajit Sarkar

Technology has shrunk the global markets and information is accessible very quickly and effortlessly. Business organizations world over concentrate on their production systems to improve the quality of the end product, well distribute the product and optimize cost of resources. Transportation cost, inventory carrying cost and shortage costs constitute the major costs in cost of distribution. A competent supply chain always strives to manufacture the right quantity of end products and hold a minimum inventory across the entire supply chain. In thecurrent paper, a five echelon supply chain model is developed and it is optimized using particle swarm intelligence algorithm.


Author(s):  
Nughthoh Arfawi Kurdhi ◽  
Livvia Paradisea Santoso ◽  
Sri Sulistijowati Handajani ◽  
Titin Sri Martini

This paper presents a coordinated vendor-buyer supply chain model in two stages with imperfect quality items, lead time and ordering cost reduction, and service level constraint. It is assumed that each arrival lot received by the buyer contains a percentage of imperfect quality items which follows a uniform distribution. A 100% screening process for detecting the defective items is conducted. Lead time crashing cost and investment for ordering cost reduction follow power function distribution. The shortage during the lead time is permitted and backordered partially for the buyer. However, the level of shortage is limited by service level constraint policy. The optimal order quantity, reorder point, lead time, ordering cost, and the number of delivery are determined by the Lagrange method such that joint total cost of the system is minimized and the service level constraint is satisfied. An iterative procedure is developed to determine the optimal solution and a numerical example is presented to illustrate the result of the proposed model.


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