طراحی الگوی یکپارچه اختلالات-ریسک مالی در زنجیره تامین ناب با رویکرد نظریه‌پردازی داده بنیاد

نوع مقاله : مدیریت تولید و عملیات (برنامه‌­ریزی تولید، چابکی، پایداری، ناب، سبز، برون­‌سپاری، زنجیره تأمین، زنجیره ارزش، کیفیت، بهره وری، صنعت چهار و ابعاد آن، . . .)

نویسندگان

1 استادیار گروه مدیریت صنعتی و مهندسی صنایع، واحد گچساران، دانشگاه آزاد اسلامی، گچساران،

2 دانشجوی دکتری مدیریت صنعتی، واحد مسجد سلیمان، دانشگاه ازاد اسلامی، مسجد سلیمان، ایران

3 استادیار گروه مهندسی صنایع، واحد مسجد سلیمان، دانشگاه ازاد اسلامی، مسجد سلیمان، ایران

چکیده

با توجه به اهمیت فزاینده موضوع اختلال و ریسک در زنجیره تأمین در سالهای اخیر به طور عام و کارخانجات سیمان به شکلی خاص(به دلیل ماهیت و نوع فعالیت) با مخاطرات مختلفی همراه بوده است. بر همین اساس، هدف این تحقیق طراحی الگوی یکپارچه اختلالات-ریسک مالی در زنجیره تامین ناب می باشد. این پژوهش از حیث پارادایم های غالب پژوهش، در گروه تفسیری قرار میگیرد. از روش زمینه ای استراوس و کوربین برای کشف و شناسایی کدها و مقوله های مرتبط با پدیده مورد نظر استفاده شد. برای این منظور بعد از بررسی ادبیات تحقیق در زمینه مورد مطالعه، با استفاده از نمونه گیری هدفمند و قضاوتی با 15 تن از خبرگان در زنجیره تامین ناب کارخانجات سیمان مصاحبه عمیق صورت گرفت و اشباع نظری حاصل شد. پس از انجام کدگذاری باز، محوری و گزینشی بر اساس مدل پارادایمی نهایی، پدیده اختلالات و ریسک مالی در زنجیره تامین ناب در قالب 6 بعد اصلی، 28 مضامین و 145 شناسه نهایی طبقه بندی گردید. برای تعیین اعتبار و روایی داده ها از دو روش بازبینی مشارکت کنندگان و همچنین مرور خبرگان غیرشرکت کننده در پژوهش استفاده شده است. یافته های حاصل از این تحقیق نشان داد که پدیده اصلی در مدل پارادایمی الگوی یکپارچه اختلالات-ریسک مالی در زنجیره تامین ناب مشتمل بر نسبت‌های نقدینگی و فعالیت ، میزان تولید و عملیات، و قابلیتهای بهبود دهنده منابع انسانی است. لذا از نتایج این مطالعه می توان در طرح، تدوین و اجرای یکپارچه اختلالات-ریسک مالی در زنجیره تامین ناب بهره برد.

کلیدواژه‌ها


عنوان مقاله [English]

Designing an Integrated Model of Noise-Financial Risk in the Lean Supply Chain with a Foundation Data Theory Approach

نویسندگان [English]

  • Alireza Anvari 1
  • Rohollah Moghimi 2
  • Saber Molla Alizafeh 3
1 Assistant professor, Department of Industrial Management & Engineering, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran
2 Ph D student of industrial engineering, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran
3 Assistant professor, Department of Industrial Engineering, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran
چکیده [English]

Due to the increasing importance of the issue of noise and risk in the supply chain, and cement factories in particular (nature and activity) is associated with various risks. Accordingly, the purpose of this study is to design an integrated pattern of noise - financial risk in the lean supply chain. This research is in the interpretive group in terms of the dominant paradigms of research. Strauss and Corbin method was used to discover and identify codes and categories related to the phenomenon. For this purpose, after reviewing the research literature in the study area, using purposeful and judgmental sampling, 15 experts in the lean supply chain of cement factories were interviewed in depth and theoretical saturation was obtained. After open, pivotal and selective coding based on the final paradigm model, the phenomenon of noises and financial risk in the lean supply chain were classified into six main dimensions, 28 themes and 145 final identifiers. To determine the validity and reliability of the data, two methods of reviewing participants as well as reviewing non-participating experts in the research have been used. Findings from this study showed that the main phenomenon in the paradigm model is the integrated pattern of noise - financial risk in the lean supply chain, including liquidity and activity ratios, production and operations, and human resource-improving capabilities. Therefore, the results of this study can be used in the design, development and integrated implementation of noise - financial risk in the lean supply chain.

کلیدواژه‌ها [English]

  • Integrated model
  • noises
  • Financial risk
  • Lean supply chain
  • Foundation data theorizing
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