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21.
We study dual sourcing inventory systems with backordering and with stationary, stochastic demands. The two supply sources differ in their unit prices and lead times. We focus on the option of making costless returns to the cheaper, longer leadtime supplier. We show that the value of this option is zero. Our analysis leading to this result includes the derivation of several structural properties of the optimal policies for dual sourcing systems with and without the return option.  相似文献   
22.
Among the various governmental schemes that support agriculture, support prices have been adopted by many developing countries. A support price for an agricultural crop is a guaranteed price at which a governmental entity agrees to purchase that crop from farmers. Despite this surety, a surprising practice of “distressed” selling 1 1 A 1‐minute news clip on distressed selling is available at: https://www.youtube.com/watch?v=U2lr5rBTpaU
has been widely observed in practice: Farmers sell a significant portion of their crops to outside agents at prices much lower than the support price. We build a tractable stochastic dynamic programming model that captures the salient features of the ground realities—limited as well as uncertain procurement capacity, high holding costs for the farmers, and lack of affordable credit—that conspire to induce distressed selling and, consequently, a significant loss of welfare of the farmers. Using real data on procurement under a support‐price program, we establish the accuracy of our model's prediction on the volume of distressed sales. Finally, we show how our model and its solution can serve as a simple and useful tool for policy‐makers to assess the relative impact of the improvements in the main determinants of distressed sales.  相似文献   
23.
    
Industry 4.0 (I4.0) has brought transformative changes in the manufacturing sector. This paper aims to provide a comprehensive analysis of the applications of I4.0 technologies in major work functions of small and medium-sized enterprises (SMEs). Specifically, this review focuses on the suitability of I4.0 technologies in areas such as New Product Development, Supply Chain Management, Internal Logistics Management, Production Planning Execution and Control, Quality Management, and Maintenance Management. This study employs a systematic literature review (SLR) methodology to comprehensively analyze relevant sources to present valuable perspectives and practical suggestions customized to the requirements of different essential work functions within manufacturing SMEs. The findings of SLR indicate that Big Data Analytics (BDA), Robotics, and Automation are perceived as highly sustainable, on the other hand, blockchain and cloud technology are viewed as having lower sustainability from SMEs' point of view. The findings presented in this article have several theoretical and practical implications including technology selection and integration, and considering sustainability and ethics. This will allow SMEs to seamlessly integrate distinct I4.0 technologies along three dimensions: vertical, horizontal, and end-to-end digital integration. This article intends to provide an unbiased assessment to ascertain the landscape occupied by I4.0 in the context of SMEs. This article highlights the connection and synergy between I4.0 and SMEs as well as the pertinence of how advanced technologies of I4.0 can influence the business processes in manufacturing SMEs.  相似文献   
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