Current Issue : July - September Volume : 2020 Issue Number : 3 Articles : 5 Articles
This paper investigates contracts adjustment between one manufacturer and one retailer under bilateral information updating.\nThe manufacturer incurs uncertain production cost and the retailer faces uncertain demand, but they can acquire independent\nsignals to update production cost and demand, respectively. They commit an initial agreement on an initial wholesale price,\nminimum order quantity, and information sharing as well as the transfer payment and decisions adjustment when information is\nupdated. We find that due to the joint impact of production cost variation and market variation, the manufacturer may not\ndecrease (increase) her wholesale price when the updated production cost is lower (higher) than expected. The retailer places an\nadditional order even if the wholesale price rises when the market outlook is good, but places an order with the minimum order\nquantity even if the wholesale price falls when the market outlook is bad. Secondly, for a certain level of information accuracy of\nthe production cost and market demand, the retailer is always better off with information updating, but the manufacturer may be\nworse off with information updating when facing a bad market outlook. Thirdly, when information accuracy of the production\ncost and market demand varies, the manufacturer only benefits from a high accuracy of production cost. Profits of the retailer and\nthe supply chain are increasing (decreasing) with accuracy of production cost if the updated production cost is larger (smaller)\nthan expected....
Since German Volkswagen accessed to Chinese market in building a joint venture\nin the mid-1980s, the automobile industry in China has been engaged in\nglobal value chain (GVC) activities for more than three decades. China went\nthrough three stages of start-up, large-scale expansion and overseas M&A,\nand very quickly established a comprehensive manufacturing system, remaining\nthe worldâ??s first place after 2009 in terms of output and sales. However, in\nline with the rapid expansion of production scale, automobile industry in\nChina, due to the lack of some value-added links in the global value chain of automobiles,\nhas failed to form a closed-loop reflux pattern in the GVC of automobile\nindustry, resulting in a significant segmentation phenomenon. It mainly\nmanifested in: 1) In the production process, there is the break between the\nupstream design and key parts against the mass local vehicle manufacturing,\nand the high-added value chain links are held by foreign operators. 2) In the\nsales process, there exists a fault zone between large-scale sales of vehicles and\nvery few export volumes. And the value chain of automobile industry in China\nhas not been effectively extended to overseas market. This paper further investigates\nmain reasons behind the segmentation of the automobile industry\nvalue chain in China: 1) the business strategy of multinational automobile\ncompanies aim to seize of Chinaâ??s local automobile market, which blocks the\noverseas extension of the value chain; 2) The control of domestic automobile\nsales channels by the foreign stake in JVs leads to the monopoly of supply\nchain and post-market of automobile industry, which indirectly leads to the\nsegmentation of value chain. 3) Low value acquisition mode of independent\nbrand automobile enterprises is isolated in the high value-added link of global\nvalue chain, which leads to the segmentation of value chain directly. 4) Some\nof the industrial and trade policies lead to the abnormal high price in automobile\nmarket and the difficulty of extending the overseas value chain. Furthermore,\nthis paper puts forward the research prospect of whether the value\nchain segmentation of automobile industry in China exists for a long time,\nand the alike problem of value chain segmentation. The new energy vehicles\nwill confront....
Although there are some studies on the risk management of logistics service supply chain (LSSC), we still know little about the\neffects of risk evolution and interactional mechanism of subjects in different urgent scenarios of logistics service supply chain from\na micro perspective. Based on the structures of the LSSC, this study thus analyzed the risk evolution and the main actorsâ?? reactions\nin the LSSC, including categorizing the urgent scenarios, analyzing their impacts on the diffusion intensity of pricing, profit and\ndemand, and verifying the modelsâ?? validity with the numerical analysis. The results indicate divergent impacts of the different\nurgent scenarios on the logistics service supply chain: the price fluctuation can cause similar profit declines of the supplier and\nintegrator, the reduced capacity can cause the supply chainâ??s price increase by 50%, and the demand risks can lead to similar\nchanges of the upstream orders, prices and profits. The findings may provide clues for firms to develop effective countermeasures\nagainst the risks....
As an effective way to improve efficiency, optimize productivity distribution\nand resource allocation, modern logistics industry has become the pillar of\nthe national economy and a new point of profit growth. Vigorously developing\nthe modern logistics industry has also become an effective way to improve\nregional competitiveness. In recent years, although the logistics industry of\nGuizhou province has developed, on the whole, the level of development is\nstill relatively backward and the speed of development is still slow. This paper\nadopts the method of combining qualitative analysis with quantitative analysis\nto understand the problems existing in the development process of logistics\nindustry in Guizhou province by analyzing the development status of logistics\nindustry in Guizhou province, and accordingly puts forward corresponding\ncountermeasures and suggestions to promote the development of\nlogistics industry in Guizhou province....
Uncertainties from retail price-fluctuation sales as well as constraints from suppliers make it difficult for retailers to place accurate\norders, which have a great impact on the whole supply chain. Thus, this paper studies a supply chain ordering problem for twolevel\nprice-fluctuation sales and establishes a bilevel programming model by Copula function measuring the correlation between\nprice and demand. The optimal order quantity is derived by transforming the bilevel programming model into a single-level\nmodel. An algorithm is given for solving the approximate optimal order quantity for the discrete model, and the convergence of\nthe algorithm is proved. The results show that the approximate optimal order quantity decreases with the increase in the\nuncertainties of price and demand. Supply chain members should sell more products at the normal level, thereby increasing profits\nof each member in the supply chain under two-level price-fluctuation sales....
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