ORIGINAL_ARTICLE
شناسایی و رتبهبندی شاخصهای کلیدی مؤثر بر نگهداری و تعمیرات چابک با استفاده از رویکرد دلفی فازی و دیمتل فازی (مطالعۀ موردی: صنعت خودروسازی ایران)
یکی از مهمترین رویکردهای نوین نگهداری و تعمیرات، نگهداری و تعمیرات چابک است. چابکی یکی از مفاهیم اساسی و تأثیرگذار بر افزایش کارایی و اثربخشی عملیاتی هر سازمانی محسوب میشود. براساس رویکرد نگهداری و تعمیرات چابک، سازمانها قابلیتهای چابکی از جمله انعطافپذیری، حرکت سریع و چالاک و... را با مفاهیم نت تلفیق میکنند و میکوشند تا آمادهبهکاری صددرصدی تجهیزات را فراهم کنند. این تحقیق بر آن است تا با بررسی ادبیات مربوط به نگهداری و تعمیرات چابک، شاخصهای کلیدی و اثربخش نت چابک در صنعت خودروسازی ایران را با استفاده از روش دلفی فازی شناسایی کند و با استفاده از تکنیک دیمتل فازی، رتبهبندی تأثیر شاخصها را تعیین کند. نتایج تحقیق بیان میکند شاخصهای کلیدی مؤثر بر نت چابک عبارتاند از: تصمیمگیری سریع، هماهنگی و همکاری، قابلیتها و زیرساختهای فناوری اطلاعات، به اشتراکگذاری فعال اطلاعات با شرکا، کمیت و کیفیت خدمت، بهرهگیری از فناوری مناسب، برنامهریزی صحیح فعالیتها، برنامهریزی تأمین تقاضا، نت خودکنترلی، تعهد مدیران عالی، سبک مدیریت مشارکتی، سازمان مجازی. تصمیمگیری سریع تأثیرگذارترین و به اشتراکگذاری فعال اطلاعات با شرکا، تأثیرپذیرترین شاخصها هستند.
https://imj.ut.ac.ir/article_57420_42974b0cd8377d35268cbccb05f7b76d.pdf
2015-12-22
641
672
10.22059/imj.2015.57420
چابکی
دلفی فازی
دیمتل فازی
نگهداری و تعمیرات
رضا
آقایی
reza.aghaee.imi@gmail.com
1
کارشناس ارشد مدیریت اجرائی، سازمان مدیریت صنعتی، تهران، ایران
LEAD_AUTHOR
اصغر
آقایی
asgharaghaee.prof@gmail.com
2
استادیار دانشگاه علوم انتظامی، تهران، ایران
AUTHOR
رامین
محمد حسینی ناجی زاده
|ramin.najizade@yahoo.com
3
استادیار سازمان مدیریت صنعتی، تهران، ایران
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Yusuf, Y. Y., Sarhadi, M. & Gunasekaran, A. )1999(. Agile manufacturing: The drivers, concepts and attributes, International Journal of Production Economics 62(1- 2): 33- 43.
152
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Zhao, Z., Wang, F., Jia, M. & Wang, S. (2010). Predictive maintenance policy based on process data, Chemometrics and Intelligent Laboratory Systems, 103(2): 137– 143.
158
ORIGINAL_ARTICLE
رویکرد ترکیبی FLinPreRa-FQFD برای اولویتبندی ویژگیها و توانمندسازهای ناب-چابکی در صنایع غذایی و آشامیدنی استان قزوین
هدف این پژوهش، اولویتبندی توانمندسازهای ناب- چابکی در صنایع غذایی و آشامیدنی استان قزوین با روش ترکیبی FLinPreRa-FQFD است، بهطوریکه امکان ارزیابی مستقیم تأثیر توانمندسازهای ناب- چابکی بر ویژگیهای آن فراهم شود و با تعداد زوج مقایسة کمتر و حفظ سازگاری در اولویتبندی، به بهبود در تصمیمگیری منجر شود. در این پژوهش، بعد از مطالعة مبانی نظری و پیشینة موضوع ناب- چابکی، ویژگیها و توانمندسازهای آن تعیین شدند و چارچوبی برای اولویتبندی این شاخصها و همچنین مزایای رقابتی عمدة موجود در ادبیات پژوهش، طراحی شد. 38 شرکت از صنایع غذایی و آشامیدنی در استان قزوین، مبنای پژوهش قرار گرفتند. یافتههای پژوهش بیانگر این است که مزیت رقابتی «هزینه» مهمترین مزیت رقابتی در این صنعت است. ویژگی «حساسیت به بازار و مشتری» در صنایع غذایی و آشامیدنی با نظر خبرگان این صنعت، از مهمترین ویژگیها شناخته شد. همچنین، در میان توانمندسازها، توانمندساز «معرفی سریع محصولات جدید و کاهش زمان چرخة تولید» بالاترین وزن و اولویت را بهدست آورد.
https://imj.ut.ac.ir/article_57421_a056377399fcc049c9ae0b0e1afa40e5.pdf
2015-12-22
673
696
10.22059/imj.2015.57421
تعمیم عملکرد کیفیت فازیQFD))
روابط ترجیحی کلامی فازی (FLinPreRa)
ناب- چابکی
نیما
اسفندیاری
r.esfandiari.111@gmail.com
1
کارشناس ارشد مدیریت صنعتی، دانشگاه گیلان، رشت، ایران
AUTHOR
محمود
مرادی
mahmoudmoradi@gmail.com
2
دانشیار گروه مدیریت صنعتی، دانشگاه گیلان، رشت، ایران
LEAD_AUTHOR
محمدعلی
ولی پور
mohammadali_valipour@yahoo.com
3
استادیار گروه مدیریت، دانشگاه گیلان، رشت، ایران
AUTHOR
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51
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52
ORIGINAL_ARTICLE
تعیین هزینۀ هدف و ارزیابی کارکردهای محصول: رویکرد تلفیقی هزینهیابی هدف، تعمیم کارکردهای کیفیت و مدل کانوی فازی
در بازار رقابتی امروز، بنگاهی پیروز است که با تکیه بر نیازهای مشتریان و توانمندی کارکنان خود، محصول و خدماتی را ارائه دهد که علاوهبر کاهش هزینه و قیمت، ارزش بالایی نزد مصرفکننده داشته باشد. برای رسیدن به این اهداف، باید سیستمهای مدیریت هزینه و مدیریت کیفیت محصول بهصورت همزمان بهکار گرفته شوند که هزینهیابی هدف از ابزار راهبردی مدیریت هزینه برای برنامهریزی سود و کاهش هزینه است. هدف این پژوهش ارائة چارچوبی بهمنظور تعیین هزینة هدف، ارزیابی و اولویتبندی کارکردهای محصول با توجه به اهمیت کیفیت محصول از نظر مشتریان است. با استفاده از رویکرد تعمیم کارکردهای کیفیت در هزینهیابی هدف و تلفیق آن با مدل کانوی فازی، میتوان هزینهها را کاهش داد و بیشترین رضایت مشتری را فراهم آورد. مدل پژوهش بهصورت موردی یکی از محصولات شرکت پارسخزر را بررسی کرد و درنهایت کارکردهای محصول بهمنظور برنامههای بهبود و کاهش هزینه، اولویتبندی و ارائه شد.
https://imj.ut.ac.ir/article_57422_3ad10d0fb38db2e7dcd73d549c00490b.pdf
2015-12-22
697
720
10.22059/imj.2015.57422
ارزیابی کارکردهای محصول
تعمیم کارکردهای کیفیت
مدل کانوی فازی
هزینهیابی هدف
رضا
اسماعیل پور
esmaeilpour@guilan.ac.ir
1
دانشیار گروه مدیریت دانشکدة علوم انسانی، دانشگاه گیلان، رشت، ایران
LEAD_AUTHOR
محمدحسن
قلیزاده
gholizadeh@guilan.ac.ir
2
دانشیار گروه مدیریت دانشکدة علوم انسانی، دانشگاه گیلان، رشت، ایران
AUTHOR
ابوالقاسم
زارعی دودجی
ghasem.zd@gmail.com
3
کارشناس ارشد مدیریت صنعتی دانشکدة علوم انسانی، دانشگاه گیلان، رشت، ایران
AUTHOR
Azar, A. & Shariati Rad, M. (2013). Planning and improving the quality function development (Fuzzy Kano model approach),Journal of Industrial Management Studies,(10)27:1-15. (In Persian)
1
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5
Dekker, H. & Smidt, P. (2003). A survey of the adoption and use of target costing in Dutch firms, International Journal of Production Economics, 84(3): 293- 305.
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Esmaeilpour, R. & Ramzaniyan, M. (2012). Quality Management, University of Guilan,Guilan.
7
Farsijani, H. & Trabandeh, M. (2013). Clarifying the role of technology transfer in QFD fuzzy to competitive product, Journal ofIndustrial Management,5(2): 103- 120. (In Persian)
8
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Garibay, C., Gutiérrez, H. & Figueroa, A. (2010). Evaluation of a digital library by means of quality function deployment (QFD) and the Kano model, The Journal of Academic Librarianship, 36(2): 125- 132.
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Ibusuki, U. & Kaminski, P. C. (2007). Product development process with focus on value engineering and target-costing: A case study in an automotive company, International Journal of Production Economics, 105(2): 459- 474.
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Jariri, F. & Zegordi, S. H. (2008). Quality function deployment, value engineering and target costing, an integrated framework in design cost management: A mathematical programming approach, Scientia Iranica, 15(3): 405- 411.
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Ju, Y. & Sohn, S. Y. (2014). Patent-based QFD framework development for identification of emerging technologies and related business models: A case of robot technology in Korea, Technological Forecasting and Social Change.3(2).
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Lee, Y. C., Sheu, L. C. & Tsou, Y. G. (2008). Quality function deployment implementation based on Fuzzy Kano model: An application in PLM system, Computers & Industrial Engineering, 55(1): 48- 63.
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Mirfakhroddini, H. & Peyruo, S. (2012). Providing integrated methodology by using quality function deployment and Kano model to improve the quality of banking services: Rough sets approach, Journal of Industrial Management Perspective,3(2): 61- 89. (In Persian)
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Rezaei, H., Salehzadeh, R., Attarpoor, M. & Balooei, H. (2012). Management costs through product design: Consolidated model of target costing, QFD and Value Engineering methods, Journal of Production and Operations Management,3(2), 77- 88. (In Persian)
21
Sharma, J. R., Sharma, D. K. & Rawani, A. M. (2006). Quality driven product development, Manufacturing Engineer, 85(3): 38- 41.
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Swenson, D., Ansari, S., Bell, J. & Kim, I. W. (2003). Best practices in target costing, Management Accounting Quarterly, 4(2): 12.
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Tabatabaeinasab, M., Noori, A. & Ebrahimzadeh pezeshki, R. (2014). Branding strategy implementation based on consumer psychology of the individual-oriented model of the brand, Journal ofBrandManagement, 1(1): 101- 125. (In Persian)
24
Witell, L. & Löfgren, M. (2007). Classification of quality attributes, Managing Service Quality, 17(1): 54- 73.
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Xu, Q., Jiao, R. J., Yang, X., Helander, M., Khalid, H. M. & Opperud, A. (2009). An analytical Kano model for customer need analysis, Design Studies, 30(1): 87- 110.
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Yang, K. (2008). Voice of the customer: Capture and analysis.McGraw Hill Professional.
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Yang, C. C. (2005). The refined Kano's model and its application, Total Quality Management & Business Excellence, 16(10): 1127- 1137.
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29
ORIGINAL_ARTICLE
ارزیابی عملکرد نوآورانۀ شرکتهای دانشبنیان با استفاده از تحلیل پوششی دادههای شبکهای-رویکرد تئوری بازی
ارزیابی عملکرد و اندازهگیری کارایی شرکتهای تولیدکنندۀ نرمافزار بهعنوان مجموعهای از شرکتهای دانشبنیان و مقایسۀ آنها با توجه به نامشخص بودن فرایندهای درونی و مراحل مشترک بین آنها و نادیده انگاشتن این فرایندها بهوسیلۀ مدلهای مرسوم تحلیل پوششی دادهها و نیز چگونگی در نظر گرفتن این فرایندها در محاسبۀ کارایی از مسائلی هستند که این مقاله در پی بررسی آنهاست. هدف تعیین مراحل و فرایندهای درونی مشترک اجرای فعالیتهای نوآورانه در این شرکتها و سنجش کارایی مراحل و کارایی کل هر شرکت در یک دورۀ چهارساله است. از بررسی ادبیات و مصاحبه با خبرگان مشخص شد که همۀ شرکتها دارای دو مرحلۀ متوالی تولید دانش و بهرهبرداری از آن هستند. برای تعیین کارایی کل و مراحل، از تحلیل پوششی دادههای شبکهای-رویکرد نظریۀ بازی استفاده شده است. مدلسازی با روش رهبر- پیرو (بازی استاکلبرگ) انجام گرفت. پس از حل نتایج نشان میدهد کاراییکل همۀ شرکتها کمتر از یک است و در مرحلۀ اول فقط دو شرکت از سیوهشت شرکت بررسیشده و در مرحلۀ دوم فقط سه شرکت کاملاً کارا هستند.
https://imj.ut.ac.ir/article_57423_c30a953d7c96089dcfe563353a5d3d96.pdf
2015-12-22
721
742
10.22059/imj.2015.57423
بازی استاکلبرگ
تحلیل پوششی دادههای شبکهای
کارایی کل
کارایی مراحل
نظریۀ بازی
سید مصطفی
رضوی
mrazavi@ut.ac.ir
1
دانشیار گروه مدیریت صنعتی دانشکدۀ مدیریت دانشگاه تهران، تهران، ایران
AUTHOR
سلطانعلی
شهریاری
sa_shahriari@yahoo.com
2
استادیار مدیریت کسب و کار، دانشگاه خوارزمی، تهران، ایران
LEAD_AUTHOR
محمود
احمدپور داریانی
ahmadpord@gmail.com
3
دانشیار، دانشکدۀ کارآفرینی، دانشگاه تهران، تهران، ایران
AUTHOR
Anand, N., Gardner, H.,Morris, T.(2007).Knowledge-based innovation: emergence and embedding of new practice areas in management consulting firms. Academy of Management Journal,50(2): 406-428.
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Chen, C., & Yan, H. (2011). Network DEA model for supply chain performance evaluation.Euro. J. of Operational Res,213(1): 147-155.
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Cook, W. D., Zhu, J., Bi, G., & Yang, F. (2010). Network DEA: Additive efficiency decomposition. European Journal of Operational Research, 207(2): 1122-1129.
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Cook, W., Zhu, G., F. Yang (2010). Network DEA: Additive efficiency decomposition. Euro.J.of Operational Res., 207(2): 1122–1129.
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Cooper, W., M. Seiford, and K. Tone (2007). Introduction to data envelopment analysis and its uses: with DEA-solver software. Springer.
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Färe, R., S. Grosskopf, and G. Whittaker (2007). Network DEAin Modeling data irregularities and structural complexities in data envelopment analysis, 209–240. Springer.
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Fukuyama, H. and S. Mirdehghan (2012). Identifying the efficiency status in network DEA. Euro. J. of Operational Res., 220(1): 85–92.
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Guan, J., & Chen, K. (2012). Modeling the relative efficiency of national innovation systems. Research Policy, 41(1): 102-115.
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Kao,C.(2009a). Efficiency decomposition in network DEA: A relational model. Euro. J. of Operational Res., 192(3): 949–962.
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Kravtsova, V., & Radosevic, S. (2012). Are systems of innovation in Eastern Europe efficient?. Economic Systems, 36(1): 109-126.
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Shahriari, S., Razavi, M. & Asgharizadeh, A.(2013), Fuzzy DEA and new approach FIEP / AHP units for the full ranking decision makers: A Case Study of Humanities Faculty of Tehran University, Industrial Management Journal, 5(1): 21-42. (in Persian)
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34
ORIGINAL_ARTICLE
توسعۀ مدل مکانیابی فراملیتی با استفاده از ترکیب روشهای تصمیمگیری چندمعیاره و مدلهای پوششی مکانیابی در شرایط عدم اطمینان
تصمیمهای مختلف شرکتهایی که در محیط پویای بینالملل درحال فعالیتاند (مانند تصمیمهای مربوط به مکانیابی این شرکتها) در معرض عدم فراوانی قرار دارد. در این پژوهش، به مسئلة استقرار تسهیلات کارخانهای در سطح فراملیتی در شرایط نبود اطمینان پرداخته میشود و مدلی یکپارچه برای برنامهریزی راهبردی و عملیاتی مکانیابی یک شرکت با این شرایط ارائه میشود. مدل ارائهشده در سطح راهبردی با توجه به شاخصهای اقتصاد بینالملل، ارزش کشورهای بالقوه را برای استقرار تسهیلات تعیین میکند. سه هدف اصلی مورد نظر عبارتاند از: پیداکردن کمترین تعداد واحدهای تسهیلاتی، استقرار آنها در بهترین نقاط بالقوه (کشورها) و کمینهکردن هزینههای حملونقل در تخصیص واحدهای تسهیلاتی به کشورهای متقاضی با واردکردن پارامترهای غیرقطعی در توابع هدف و محدودیتهای مدل. برای تشریح بیشتر کاربرد این رویکرد، یک مسئلة مکانیابی برای یک شرکت بینالمللی فعال در صنعت داروسازی اروپا تشریح شده است.
https://imj.ut.ac.ir/article_57424_7b4bc908a58c9085959fda82e4e8c546.pdf
2015-12-22
743
766
10.22059/imj.2015.57424
تصمیمگیری چندمعیاره
تکنیک پوشش مکانیابی
شرایط نبود اطمینان
مکانیابی بینالملل
فهیمه
روحی
rouhi@ifcenter.ir
1
کارشناس ارشد مهندسی صنایع، دانشکدة صنایع، دانشگاه علموصنعت، تهران، ایران
AUTHOR
سید بابک
ابراهیمی
b_ebrahimi@kntu.ac.ir
2
استادیار مهندسی صنایع، دانشکدة صنایع، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران
LEAD_AUTHOR
حمید
کتابیان
ketabianh@hotmail.com
3
کارشناس ارشد مهندسی صنایع، دانشکدة صنایع، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران
AUTHOR
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30
ORIGINAL_ARTICLE
ارائۀ مدل مفهومی برای انتخاب تأمینکنندگان پایدار (مطالعۀ موردی: شرکت سایپا)
انتخاب تأمینکنندگان پایدار در بلندمدت، به ایجاد مزیت رقابتی در کل زنجیرة تأمین میانجامد. هدف این پژوهش ارائة مدلی برای انتخاب تأمینکنندگان پایدار در زنجیرة تأمین سایپا بوده است. برای این کار پس از بررسی ادبیات نظری پژوهش، 58 شاخص برای ارزیابی تأمینکنندة پایدار شناسایی شد که پس از بررسی خبرگان زنجیرة تأمین در صنعت خودرو، فقط 17 شاخص مناسب تشخیص داده شد. سپس پرسشنامهای بین کارشناسان موجود در زنجیرة تأمین شرکت سایپا توزیع شد و براساس 191 پرسشنامة بهدستآمده مدل مفهومی انتخاب تأمینکنندة پایدار با روش تحلیل عاملی- تأییدی برآورد شد و شاخصهای پایداری در سه گروه اقتصادی، رفاه اجتماعی و زیستمحیطی عاملبندی شدند. طبق نتایج کسبشدة این مدل تحقیقاتی، مشخص شد انتخاب تأمینکنندگان پایدار بهترتیب اولویت به ابعاد «رفاه اجتماعی»، «اقتصادی» و «زیستمحیطی» بستگی دارد و اولویت هریک از زیرشاخصها نیز در تبیین انتخاب تأمینکنندگان پایدار مشخص شد.
https://imj.ut.ac.ir/article_57425_3dcf691de21b1740aec8e2a220d95760.pdf
2015-12-22
767
784
10.22059/imj.2015.57425
انتخاب تأمینکنندگان پایدار
تحلیل عاملی
شرکت سایپا
مدلسازی معادلات ساختاری
عبدالحمید
صفائی قادیکلائی
ab.safaei@umz.ac.ir
1
دانشیار گروه مدیریت صنعتی دانشکدة علوم اداری و اقتصادی، دانشگاه مازندران، بابلسر، ایران
AUTHOR
مهرداد
مدهوشی
mmadhoshi@yahoo.com
2
استاد گروه مدیریت صنعتی دانشکدة علوم اداری و اقتصادی، دانشگاه مازندران، بابلسر، ایران
AUTHOR
احمد
جمالیان
jamalian.ahmad11@gmail.com
3
دانشجوی کارشناسی ارشد مدیریت صنعتی دانشکدة علوم اداری و اقتصادی، دانشگاه مازندران، بابلسر، ایران
LEAD_AUTHOR
Ahmady, N., Azadi, M., Sadeghi, S. A. H. & Saen, R. F. (2013). A novel fuzzy data envelopment analysis model with double frontiers for supplier selection, International Journal of Logistics Research and Applications, 16(2): 87- 98.
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ORIGINAL_ARTICLE
اثر برنامههای گردش شغلی سلولی بر عملکرد سلول ناب
گردش شغلی، عملیات استاندارد سلولهای ناب شناخته میشود. با اینحال، گردش شغلی بهعنوان تشریحکنندة عملکرد سلول ناب در پژوهشها بررسی نشده است. فاصلة (تواتر) گردش شغلی از طریق اثرگذاری بر نحوة تخصیص وظایف به افراد، بر عملکرد سلول در خلال چند دورة گردش شغلی تأثیر میگذارد. در این پژوهش، عملکرد سلول ناب از طریق عامل فاصلة گردش شغلی و بههمراه عوامل مرتبط با سلول (شامل اندازة سلول، نوع وظایف سلول و زمان تکت) تشریح شده است که نوآوری اصلی تحقیق نیز بهشمار میآید. پس از مدلسازی ریاضی و تحلیل آن، آزمایشهای مناسب با استفاده از طراحی آزمایشهای تاگوچی اجرا شد و دادهها در قالب جوابهای نزدیک به بهینه برای اهداف عملکردی سلول بهدست آمد. سپس با تحلیل واریانس یک و چندمتغیره، اثر عوامل آزمون شد. نتایج تحقیق اثر عامل فاصلة گردش شغلی و روابط متقابل پیچیده میان آن و دیگر عوامل را تأیید کرد و الگوهایی را در زمینة رفتار معیارهای عملکرد سلولی تعیین کرد.
https://imj.ut.ac.ir/article_57426_1365c04a27edff0b2646e4615aa7a7b2.pdf
2015-12-22
785
812
10.22059/imj.2015.57426
برنامة گردش شغلی
تحلیل واریانس چندمتغیره
سلول ناب
طراحی آزمایشهای تاگوچی
عملکرد سلول ناب
اشکان
عیوق
a_ayough@sbu.ac.ir
1
استادیار مدیریت تولید و عملیات، مرکز مطالعات مدیریت ایران، تهران، ایران
LEAD_AUTHOR
مصطفی
زندیه
m_zandieh@sbu.ac.ir
2
دانشیار دانشکدة مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران
AUTHOR
Ahmed M. Deif .(2012). Dynamic analysis of a lean cell under uncertainty, International Journal of Production Research, 50(4): 1127- 1139.
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2
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3
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4
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14
Kannan, V. R. & Jensen, J. B. (2004). Learning and labor assignment in a dual constrained cellular shop, International Journal of Production Research, 42(7): 1455– 1470.
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34
Tharmmaphornphilas, W. & Norman, B. (2004). A quantitative method for determining proper job rotation nintervals, Annals of Operations Research (128): 251– 266.
35
ORIGINAL_ARTICLE
تحلیل ابعاد رویکرد مدیریت زنجیرۀ تامین لارج در صنعت سیمان از طریق تلفیق تکنیکهای تصمیمگیری چند معیاره
در این پژوهش سعی شده است با مطرحکردن رویکرد مدیریت زنجیرة تأمین لارج بهعنوان روشی تقریباً جامع، به راهبردهای ناب، چابک، تابآوری و سبز در صنعت سیمان بهطورهمزمان توجه شود. درنتیجه، با بهکارگیری روش پیمایشی و دریافت نظرهای 21 متخصص در صنعت سیمان، هریک از ابعاد رویکرد لارج با استفاده از تکنیکهای تصمیمگیری چندمعیاره شامل روشهای سوارا و ویکور، وزندهی و اولویتبندی شد. سپس نتایج با روشکوپراس- خاکستری مقایسه شد. طبق نتایج نهایی هر دو روش، راهبردهای تابآوری، سبز، ناب و چابک بهترتیب اولویت اول تا چهارم را در صنعت سیمان داشتند؛ بهعبارت دیگر، تمرکز بر ایجاد وضعیتی متعادل و انطباق با شرایط محیطی و همچنین تغییر در طراحی فرایندها و محصولات بهسوی فرایندهای دوستدار محیطزیست اولویتهای اول و دوم معرفی شدهاند. انطباق با شرایط و لزوم تدوین استانداردهای سبز در زنجیرة تأمین صنعت سیمان از جمله راهکارهای پیشنهادی پژوهش هستند. این پژوهش با تمرکز بر تمام ابعاد زنجیرة تأمین لارج به بسط مفاهیم نظری آن کمک مؤثری کرده است.
https://imj.ut.ac.ir/article_57427_18470919085a6e437a48580b8d12e200.pdf
2015-12-22
813
836
10.22059/imj.2015.57427
سوار آ
کوپراس- خاکستری
مدیریت زنجیرة تأمین لارج
ویکور
رحیم
قاسمیه
r.ghasemiyeh@scu.ac.ir
1
استادیار گروه مدیریت صنعتی دانشکدة علوم انسانی، دانشگاه خلیج فارس، بوشهر، ایران
LEAD_AUTHOR
غلامرضا
جمالی
gjamali@pgu.ac.ir
2
استادیار گروه مدیریت صنعتی دانشکدة علوم انسانی، دانشگاه خلیج فارس، بوشهر، ایران
AUTHOR
الهام
کریمی اصل
elh.karimiasl@gmail.com
3
دانشجوی کارشناسی ارشد مدیریت صنعتی دانشکدة علوم انسانی، دانشگاه خلیج فارس، بوشهر، ایران
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ORIGINAL_ARTICLE
مدل عصبی-فازی پشتیبان تصمیم فازهای اولیۀ پروژههای صنعت نفت
طی برنامهریزیهای پیش از آغاز پروژه بهعنوان یک مرحلة مهم، تصمیمهای اساسی اتخاذ میشوند که مسیر حرکت پروژه را در جهت موفقیت یا شکست ترسیم میکنند. این مرحله بهویژه در مگاپروژههای نفت، گاز و پتروشیمی که به حجم عظیمی از منابع نیاز دارند، اهمیتی مضاعف مییابد. عدمقطعیت در فازهای اولیة پروژه زیاد است و باید با حداقل اطلاعات از آینده، عمدهترین تصمیمگیریها صورت گیرند. در این پژوهش، مدل پیشبینی عملکرد برای پروژههای صنعت نفت براساس سیستمهای عصبی- فازی پیشنهاد شده است که بر پایة توابع پیشرفت استوار است که به مدلهای منحنی S معروفاند. در این پژوهش، انواع توابع منحنیهای پیشرفت پروژه مطالعه و پرکاربردترین آنها شناسایی شدند. درادامه، از طریق مطالعات کتابخانهای و پرسشنامة بسته، شش معیار عملکردی در قالب دو دسته و 25 متغیر شکلدهندة مدل در قالب دو بخش اصلی و چهار خوشه شناسایی شده است. درنهایت، مدل پیشبینی عملکرد با استفاده از سیستم انطباقی عصبی- فازی استنتاجی توسعه یافته است که ارزیابی نتایج آن بیانگر دقت مناسب مدل در انجام پیشبینیهاست.
https://imj.ut.ac.ir/article_57428_876f8e282a2a0e7bc68795bd1e466f2b.pdf
2015-12-22
837
860
10.22059/imj.2015.57428
پروژههای صنعت نفت
پیشبینی
تصمیمهای راهبردی
مدل عصبی- فازی
منحنی S پروژه
محمود
گلابچی
golabchi@ut.ac.ir
1
استاد گروه مدیریت پروژه و ساخت دانشکدة معماری، دانشگاه تهران، تهران، ایران
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امیر
فرجی
amirfaraji@ut.ac.ir
2
دانشجوی دکتری مدیریت پروژه و ساخت دانشکدة معماری، دانشگاه تهران، تهران، ایران
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ORIGINAL_ARTICLE
ارزیابی سهم فناوری در ایجاد ارزشافزودۀ بخش صنعت (مطالعۀ موردی: زنجیرۀ ارزش صنایع شیمیایی استان فارس)
این مطالعه با هدف سنجش سهم فناوری در زنجیرة ارزش صنایع شیمیایی و تأثیر آن بر ارزشافزودة این زنجیره انجام گرفته است. شبکة ارزش صنایع شیمیایی استان شامل 581 واحد تولیدی فعال است که در پنج مرحله و 21 گروه تولیدی ترسیم شد و دادهها با استفاده از 141 پرسشنامه به روش گلولهبرفی گردآوری شدند. سهم فناوری و ارزشافزوده در هر مرحله و گروه براساس مدل فرناندز تعیین و سهم فناوری در ایجاد ارزشافزودة هر گروه تعیین شد. همبستگی مثبت و معنادار ارزشافزوده با سهم فناوری نشان میدهد کاهش سهم فناوری ممکن است علاوهبر افزایش سهم نامطلوب سرمایه، بر ارزشافزودة اقتصادی هم از جنبة سود عملیاتی و هم از نظر افزایش هزینههای سرمایه تأثیر بگذارد و درنهایت به کاهش ارزشافزوده در سطح خرد و کلان زنجیره منجر شود. همچنین، یافتهها نشان میدهد سهم فناوری بر ارزشافزودة صنایع واسطه، پتروشیمی، پوشش، عایق و شوینده بیشترین اثر را دارد و سهم نسبی پایین فناوری این واحدها، سرمایهگذاری در توسعه و نوسازی فناوری آنها عاملی مؤثر بر توسعة زنجیره است.
https://imj.ut.ac.ir/article_57429_d95b9dcf8029cfa77d8976944dd054cf.pdf
2015-12-22
861
879
10.22059/imj.2015.57429
ارزشافزودة اقتصادی
زنجیرة ارزش
سهم فناوری
سهم نیروی کار
صنایع شیمیایی
علی
محمدی
amohamadi11@gmail.com
1
دانشیار بخش مدیریت دانشکدة اقتصاد، مدیریت و علوم اجتماعی، دانشگاه شیراز، شیراز، ایران
AUTHOR
داریوش
مولا
dmowla@gmail.com
2
استاد بخش مهندسی شیمی دانشکدة مهندسی شیمی، نفت و گاز، دانشگاه شیراز، شیراز، ایران
AUTHOR
عباس
عباسی
a_abbasiir@yahoo.com
3
استادیار بخش مدیریت دانشکدة اقتصاد، مدیریت و علوم اجتماعی، دانشگاه شیراز، شیراز، ایران
AUTHOR
کاظم
عسکری فر
askarifar_km@yahoo.com
4
دانشجوی دکتری مدیریت سیستم دانشکدة اقتصاد، مدیریت و علوم اجتماعی، دانشگاه شیراز، شیراز، ایران
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