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Incorporating Return on Inventory Investment into Joint Lot-Sizing and Price Discriminating Decisions: A Fuzzy Chance Constraint Programming Model | ||
| Interdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies) | ||
| مقاله 8، دوره 10، شماره 4، اسفند 2017، صفحه 929-959 اصل مقاله (322.38 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ijms.2017.230829.672615 | ||
| نویسندگان | ||
| Reza Ghasemy Yaghin1؛ Seyed Mohammad T. Fatemi Ghomi* 2؛ Seyed Ali Torabi3 | ||
| 1Clothing Engineering and Management Group, Department of Textile Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| 2Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| 3Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran | ||
| چکیده | ||
| Coordination of market decisions with other aspects of operations management such as production and inventory decisions has long been a meticulous research issue in supply chain management. Generally, changes to the original lot-sizing policy stimulated by market prices may impose remarkable deviation revenue throughout the supply and demand chain system. This paper examines how to set the channel prices and the lot-sizing quantities so that the potential maximal return on investment is gained under a differential pricing scenario involving a number of possibilistic constraints to deal with market-segmented price setting, marketing and lot-sizing decisions, concurrently. The model aims to maximize return on inventory investment (ROII). To solve the model, a fuzzy solution approach based on the novel credibility measure is developed. An efficient and tuned search procedure using particle swarm optimization is tailored to reach the solutions of the resultant non-linear crisp model. An illustrative example is also studied to demonstrate the practicability of the proposed mathematical model and its solution approach. | ||
| کلیدواژه‌ها | ||
| Price differentiation؛ Production lot size؛ Revenue management؛ Fuzzy optimization؛ Credibility measure. | ||
| عنوان مقاله [English] | ||
| ادغام بازگشت سرمایه موجودی در تصمیمات توام قیمت‌گذاری متمایز و تعیین اندازه انباشته: یک رویکرد برنامه ریزی محدودیت شانسی فازی | ||
| نویسندگان [English] | ||
| رضا قاسمی یقین1؛ سیدمحمدتقی فاطمی قمی2؛ سیدعلی ترابی3 | ||
| 1گروه مهندسی پوشاک و مدیریت، دانشکده مهندسی نساجی، دانشگاه صنعتی امیرکبیر، تهران، ایران | ||
| 2دانشکده مهندسی صنایع، دانشگاه صنعتی امیرکبیر، تهران، ایران | ||
| 3دانشکده مهندسی صنایع، دانشگاه تهران، تهران، ایران | ||
| چکیده [English] | ||
| هماهنگسازی تصمیمات بازاریابی با دیگر جنبه‌های مدیریت عملیات مانند تصمیمات تولید و موجودی، یکی از مهمترین چالش‌های مدیریت زنجیره عرضه بودهاست. در حالت کلی، تغییرات در اندازه انباشته با قیمت بازار برانگیخته می‌شود. در این مقاله، تصمیمات توام قیمت گذاری متمایز، مخارج بازاریابی و اندازه انباشته با هدف ماکزیمم سازی بازگشت سرمایه موجودی با در نظر گرفتن محدودیت‌های شانسی فازی مدلسازی می‌شود. تابع هدف بازگشت سرمایه موجودی است که از حاصل نسبت سود به میانگین موجودی محاسبه می‌شود. به جهت حل مدل، یک رویکرد برنامه ریزی محدودیت شانسی مبتنی بر اندازه اعتبار توسعه داده می‌شود. از یک الگوریتم بهینهسازی انباشته ذراتِ تنظیم شده، برای حصول به جواب استفاده می شود. در نهایت، کاربرد مدل و روش حل این مقاله از طریق ارائه مثال عددی تحت مطالعه قرار می‌گیرد. | ||
| کلیدواژه‌ها [English] | ||
| قیمت‌گذاری متمایز, اندازه انباشته تولید, مدیریت درآمد, بهینه سازی فازی, اندازه اعتبار | ||
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