دانلود مقاله بررسی مدل های پویای کیفیت محصول
ترجمه نشده

دانلود مقاله بررسی مدل های پویای کیفیت محصول

عنوان فارسی مقاله: بررسی مدل های پویای کیفیت محصول
عنوان انگلیسی مقاله: A survey of dynamic models of product quality
مجله/کنفرانس: مجله اروپایی تحقیقات عملیاتی - European Journal of Operational Research
رشته های تحصیلی مرتبط: مدیریت - مهندسی صنایع
گرایش های تحصیلی مرتبط: بهینه سازی سیستم ها - مدیریت کیفیت و بهره وری
کلمات کلیدی فارسی: مدیریت کیفیت - مدل های کنترل بهینه - بازی های دیفرانسل - تحقیق
کلمات کلیدی انگلیسی: Quality management, Optimal-control models, Differential games, Survey
نوع نگارش مقاله: مقاله مروری (Review Article)
نمایه: Scopus - Master Journals List - JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.ejor.2022.06.010
لینک سایت مرجع: https://www.sciencedirect.com/science/article/pii/S0377221722004830
نویسندگان: Pietro De Giovanni - Georges Zaccour
دانشگاه: Luiss University, Rome, Italy
صفحات مقاله انگلیسی: 17
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2023
ایمپکت فاکتور: 7.161 در سال 2022
شاخص H_index: 288 در سال 2023
شاخص SJR: 2.371 در سال 2022
شناسه ISSN: 0377-2217
شاخص Quartile (چارک): Q1 در سال 2022
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
آیا این مقاله فرضیه دارد: ندارد
کد محصول: e17511
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
نوع رفرنس دهی: vancouver
فهرست مطالب (ترجمه)

1. معرفی
2. نقش کیفیت در مدل های پویا
3. تأثیر کیفیت محصول بر متغیرهای پویا مختلف
4. تاثیر کیفیت محصول بر فروش
5. تأثیر کیفیت محصول بر هزینه نهایی تولید
6. نتیجه گیری

فهرست مطالب (انگلیسی)

1. Introduction
2. The role of quality in dynamic models
3. The impact of product quality on different dynamic variables
4. The impact of product quality on sales
5. The impact of product quality on the marginal production cost
6. Conclusion

بخشی از مقاله (ترجمه ماشینی)

ما مدل‌های کیفیت پویا را هم در راه‌اندازی تک عاملی و هم در چارچوب رقابتی بررسی می‌کنیم. اهداف ما عبارتند از: (1) ارائه یک نقطه نظر به خواننده در مورد وضعیت هنر در این زمینه، (2) شناسایی مرزهای بین مفاهیم مختلف کیفیت برای کمک به ایجاد پل بین جوامع مختلف علاقه مند به مدیریت. کیفیت، و (3) ترسیم یک برنامه تحقیقاتی برای منطقه. این مقاله نه تنها باید برای محققان فعال در این زمینه، بلکه برای جامعه گسترده‌تری از محققان و متخصصان شاغل در مدیریت عملیات، بازاریابی، مهندسی صنایع و تحقیقات عملیات، که به پویایی کیفیت علاقه‌مند هستند، مورد علاقه باشد.

بخشی از مقاله (انگلیسی)


We review dynamic quality models both in single-agent setup and in a competitive framework. Our objectives are: (1) to give the reader a vantage point on the state of the art in this area, (2) to identify the boundaries between the different concepts of quality to help build a bridge between the various communities interested in the management of quality, and (3) to sketch out a research agenda for the area. The paper should not only be of interest to active researchers in the field, but also to a broader community of scholars and practitioners working in operations management, marketing, industrial engineering and operations research, who are interested in quality dynamics.



During the three last decades or so, a large literature has developed on product quality management, with one stream using a dynamic model to reflect the idea that firms can improve the quality of their products over time. This paper surveys this dynamic literature both in a one-firm framework and in a competitive setup. There are several reasons for adopting a dynamic model when dealing with product’s quality. First, consumers’ tastes change over time and if the firm wants to remain competitive (not to say survive) in the market, it must upgrade continuously the quality of its products. Second, changing product’s quality requires constant investments over time to, e.g., improve production processes and use better materials. Third, environmental and safety regulations change over time and so must the product’s quality about may impose some. Finally, establishing a high-quality reputation needs sustained marketing as well as operations efforts.


We all have probably witnessed two friends discussing a product quality or brand’s quality and ending in a deadlock. One likely reason for this outcome is that each party had her own personal definition of quality. Such differences in opinion also occasionally involve consumers and firms. For instance, a new product can be a true marvel from an engineering and production point of view, but be snubbed by consumers because it does not suit their tastes, and therefore be labeled a poor-quality product. Then, one can ask the following simple question: can quality be assessed through a reliable and valid measurement scale? In a seminal paper, Garvin (1988) suggested the following eight dimensions to measure this construct:


This paper surveyed the contributions on quality dynamics both in single-agent and in competitive situations. In this section, we propose some ideas for future investigations, with some of them being relatively straightforward extensions to what has been done, and others being more conceptual (and sometime speculative) ones.

Stochastic models: Looking at the “Model” column in the Appendix, we clearly see that the literature has largely adopted a deterministic model. Given that one can hardly argue that e.g., future demands and costs are known with certainty, the choice of a deterministic setup is, at least partially, motivated by mathematical tractability. Still, this choice has allowed researchers to obtain a series of insights into the management of quality over time. Extending most of the proposed deterministic models to a stochastic environment is conceptually easy, but it will come with the cost of losing the opportunity of having closed-form solutions. Also, depending on how uncertainty is introduced, obtaining a numerical solution may be computationally challenging, especially for multi-agent models with strategic interactions. One good place to start the analysis is to consider a two-stage model where quality decision is made once, while other decisions, e.g., pricing and advertising, are made in both periods. This would allow one to gain intuition on how uncertainties in, e.g., demand or cost, affect the quality decision in current and future periods. Next, one can move to a multistage model where quality decision is made in each period.

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