توسعه مدل مدیریت زنجیره تأمین هوشمند در صنعت کالاهای تندمصرف

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مدیریت صنعتی، دانشکده مدیریت، پردیس البرز دانشگاه تهران، البرز، ایران.

2 استاد، گروه مدیریت صنعتی، دانشکده مدیریت، دانشگاه تهران، تهران، ایران.

3 استادیار، گروه مدیریت صنعتی، دانشکده مدیریت، دانشگاه تهران، تهران، ایران.

چکیده

هدف اصلی پژوهش دستیابی به مدل زنجیره تأمین هوشمند صنعت کالاهای تند مصرف در ایران می‌باشد. از آنجا که این پژوهش از نوع آمیخته اکتشافی است، در بخش کیفی پس از مرور مطالعات موجود و جمع‌آوری ادبیات موضوعی پژوهش، مقالات مرتبط شناسایی و خروجی‌های به دست آمده با استفاده از روش مالتی گراندد تئوری تحلیل گردید. پس از انجام روش فراترکیب، مقالات منتخب استخراج شدند. همچنین، پس از برگزاری مصاحبه با 15 نفر از خبرگان حوزه مورد بررسی، به کدگذاری مقوله‌ها پرداخته و نتیجه به استخراج مدل منتج شد. در بخش کمی به منظور پالایه نمودن شاخص‌ها از روش پشتیبان اجماع گسسته استفاده شد. در ادامه به منظور نوع‌شناسی مدل از روش تحلیل مقایسه‌ای کیفی فازی با استفاده از نرم‌افزار FsQCA4 استفاده شد. داده‌های بخش کمی از بین 20 نفر از مدیران و خبرگان زنجیره تأمین در شرکت‌های فعال در صنعت کالاهای تند مصرف شهر تهران گردآوری شدند. بر اساس نتایج کیفی پژوهش، مشخص گردید مدل مذکور دارای 6 مقوله اصلی، 21 مقوله فرعی و 113 کد شاخص می‌باشد. همچنین بر اساس نتایج بخش کمی تعداد 92 شاخص به عنوان مناسب‌ترین شاخص‌های هوشمندسازی زنجیره تامین صنعت کالاهای تند مصرف تعیین و در ادامه مناسب‌ترین ترکیب بین شاخص‌های مدل پارادایمی تعیین شدند.   

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Developing Smart Supply Chain Management Model in Fast-moving Consumer Goods Industry (FMCG)

نویسندگان [English]

  • Ali Hoorshad 1
  • Hossein Safari 2
  • Rohollah Ghasemi 3
1 Ph.D. Candidate, Industrial Management Department, Faculty of Management, Alborz Campus University of Tehran, Alborz, Iran.
2 Professor, Industrial Management Department, Faculty of Management, Tehran University, Tehran, Iran.
3 Assistant Professor, Industrial Management Department, Faculty of Management, University of Tehran, Tehran, Iran.
چکیده [English]

The main purpose of the research is to achieve a smart supply chain management model for FMCG industry in Iran. Since this research is of an exploratory mixture type, in qualitative section after reviewing the existing literature and collecting the relevant literature of the researchs, related articles identified and the obtained results analyzed by Multi-Grounded theory. After performing the meta-synthesis method, the selected articles extracted. Then after interviewing with 15 experts, the categories were coded. The result led to the extraction of the model. In the quantitative part, in order to refine the attributes, the DCSM used. Next in qualitative part, for model configuration, FsQCA method implemented. Quantitative data collected from 20 supply chain managers and experts in companies active in FMCG industry in Tehran. Based on the results obtained, the model has 6 main categories, 21 sub-categories and 113 attributes. Also, based on the results of the quantitative section, 92 attributes determined as the most appropriate attributes and then the most suitable combination of the attributes related to the paradigm model determined. The results of the research presented a conceptual model for smart supply chain management in FMCG industry in Iran, which can be used by industrialists and researchers.

کلیدواژه‌ها [English]

  • Smart Supply Chain
  • Fast-moving Consumer Goods Industry
  • Multi-Grounded Theory
  • Discrete Consensus Support Method (DCSM)
  • Fuzzy-set Qualitative Comparative Analysis (FsQCA)

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