دانلود مقاله ISI انگلیسی شماره 852
عنوان فارسی مقاله

سفارش تکمیل دوباره بهینه برای تقاضای غیر قطعی در زنجیره تامین سه لایه ای

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
852 2012 9 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
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عنوان انگلیسی
Optimal replenishment order for uncertain demand in three layer supply chain
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Economic Modelling, Volume 29, Issue 6, November 2012, Pages 2274–2282

کلمات کلیدی
پسر روزنامه فروش - زنجیره تامین - موجودی - کمبود -
پیش نمایش مقاله
پیش نمایش مقاله سفارش تکمیل دوباره بهینه برای تقاضای غیر قطعی در زنجیره تامین سه لایه ای

چکیده انگلیسی

The authors study the well-known order quantity model in a three-player context, using a framework of newsboy problem. An expected average cost function of the chain by trading off inventory cost and shortage costs is formulated which is minimized to obtain optimal order sizes of the supplier, manufacturer and retailer. Our theoretical analysis of both cases; (i) when demand per unit time of each member of the chain is uncertain, (ii) when uncertain demand is distributed uniformly over finite time horizon; suggests the determining of optimal order sizes of the members so that the expected average channel cost is minimum. Numerical examples for different distributions are illustrated to justify our model.

مقدمه انگلیسی

It is common belief to all enterprises in a multi-echelon supply chain that the channel cost in a centralized supply chain is more than the channel cost in a decentralized system. In the centralized supply chain system, one member of the chain is a decision maker and the others are his followers whereas, in the decentralized system, all parties of the chain are decision makers of the joint businesses. The two main critical factors among the other factors in inventory management in a multi-firm supply chain context are incentive conflicts and information asymmetries. These two factors in a supply chain process often cause supplier/ manufacturer and buyer/retailer to make incorrect production and replenishment plans that result in either under or over stocking. This situation is worse for products with short-life cycles but also for the members who have invested capital to run their businesses smoothly. Many researchers have discussed the inventory model in the multi-echelon supply chain system. Among them, Lu (1995) showed a heuristic solution of the model for single-vendor and multiple buyers. Goyal (1995) developed an inventory model where successive shipment sizes from manufacturer to customer increased by a ratio of production rate and demand rate. Goyal and Gunasekaran (1995) observed an integrated production–inventory–marketing model to determine economic production quantity and economic order quantity for raw materials in a multi-echelon production system. Banerjee and Kim (1995) investigated a collaborating inventory of the buyer, manufacturer and raw material suppliers in just-in-time environment. Thomas and Grifin (1996) remarked that an efficient supply chain requires planning and coordination among the various channels. Xiao et al. (2010) proposed a game theoretic model for a three-stage supply chain consisting of one retailer, one manufacturer and one subcontractor to determine optimal order quantity, wholesale pricing and lead-time decisions, while the manufacturer produced a seasonal/perishable product. Sana (2011a) proposed a three layer supply chain involving a supplier of raw materials, manufacturer and retailer for deterministic demand. Recently, Taleizadeh et al. (2012) investigated an inventory model for a multi-product, multi-chance constraint, multi-buyer and single-vendor, considering uniform distribution demand and lot size dependent lead-time partial backlogging. Sarkar (2012a) extended an EOQ model for time-varying demand and deteriorating with discounts on purchasing costs under the environment of delay-in-payments. Sarkar (2012b) analyzed a stock-dependent inventory model considering different delay periods with finite replenishment rate. Sarkar (2012c) investigated an economic manufacturing quantity model with price and advertising sensitive demand patterns in an imperfect production process considering the effect of inflation. Other notable works in this field are those of Aderohunmu et al. (1995), Woo et al. (2001), Viswanathan and Wang (2003), Khouja (2003), Goyal et al. (2003), Cardenas-Barron (2007), Yao et al. (2007), Huang and Ye (2010), Chen and Bell (2011), among others. Newsboy problem is simple but it is a famous model in inventory theory because of its elegance in application in business sectors. According to its formulation, a decision maker requires how many units of the goods to be stocked in order to minimize the expected cost when demand in market is uncertain. In this problem, optimal replenishment size is obtained by balancing between the expected cost of under stocking and the expected cost of overstocking. Khouja (1995) formulated and solved a newsboy problem with multiple discounts. Petruzzi and Dada (1999) extended the newsboy problem in which stocking units and selling prices are obtained simultaneously. A newsboy problem with a simple reservation arrangement was investigated by Chen and Chen (2009). In their model, a special discount rate is offered to the consumers who make a reservation for the product. Chen and Chen (2010) developed a model for the multiple-item budget-constraint newsboy problem incorporating a reservation policy to meet marketing needs in which discount rate is provided to those customers who are willing to make a reservation. Zhang (2010) studied the classical newsboy model by incorporating both the budget constraint and supplier quantity discounts. Lee and Hsu (2011) developed a model for the decision-maker in a distribution-free newsboy problem to determine the expenditure on advertising and the order quantity which would maximize the expected profit against the worst possible distribution of the demand. Sana (2011b) developed a stochastic economic order quantity model over finite time horizon while random demand is dependent on random sales price. Based on partial backlogging and lost sale cases during stock out situations, the author obtained an optimal replenishment size so that the integrated expected profit is maximized. Sarkar and Moon (2011) investigated a classical EPQ model with stochastic demand under the effect of inflation. A large number of noteworthy works by Johansen and Thorstenson (1993), Chen and Chuang (2000), Sana and Chaudhuri (2002), Sana and Chaudhuri (2005), Abdel-Malek and Montanari (2005), Matsuyama (2006), Chou and Chung (2009), Wang (2010) and Hsieh and Lu (2010) should be mentioned, among others. In this paper, we consider a three layer supply chain model involving a supplier, manufacturer and retailer as members of the chain. Here, supply rate of raw materials, production rate of manufacturer, and the rate of demand of retailer and customers are random in character which follow various types of distribution functions. The supplier supplies raw materials to the manufacturer who produces finished products which are delivered to the retailer, and retailer sales the items to the customers. At each stage of the channel, stock out situation may occur. Finally, an expected average cost function of the collaborating system by trading off inventory costs and shortage costs is formulated. At first, we develop the model for the demand per unit time at each stage. Then, we develop the model for the demand when it is distributed uniformly over a finite horizon.

نتیجه گیری انگلیسی

Supply chain management has a great importance in any service sciences now-a-days. Close cooperation among the members of the multi-echelon supply chain results in a more cost-effective distribution of the goods as well as a faster response to the customers' demand. In our proposed model, we consider a three-layer supply chain involving supplier of raw materials, manufacturer and the retailer as the members of the chain. It is assumed that the demand distributions of the members of the chain follow uniform distribution and exponential distribution which occur often in inventory literature, in practice. The newsboy type inventory control is considered because the newsboy problem provides an excellent way out to control inventory due to its simple but elegant formula. As a result, its further extension and investigation are urgent in today's challenging business system. The authors first formulate the expected average cost of the chain for general distribution of the demand at each stage, considering shortages in each state of the items starting from raw material supplier to the end customers. Then, the expected average cost function is minimized for particular distributions such as uniform and exponential which are of more relevance in practice. Our proposed model suggests to order the optimal lot size of the members in order to balance the over stock and the under stock. As far as the knowledge of authors goes no such type of the three layer supply chain model involving newsboy type inventory control problem has yet been discussed in inventory literature. The present article can be extended for discrete demand immediately. The model can be further investigated incorporating variable lead times and periodic review concept, delay in payment, and promotional effort, among others.

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