کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5127973 1489064 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A fuzzy sequential model for realization of strategic planning in manufacturing firms
ترجمه فارسی عنوان
یک مدل ترتیب فازی برای تحقق برنامه ریزی استراتژیک در شرکت های تولیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


- A sequential model for effective resource usage realization of strategic planning.
- Consists of four different techniques; SWOT, RCA, Bolden's taxonomy and Fuzzy ANP.
- Applied in a local manufacturing SME.
- Action plans are ranked due to their importance levels.
- Suitable model for both researches and industrial practitioners.

Strategic planning is a vital management tool for projecting the long-range business goals and is not only for big businesses, but also applicable to small businesses in spite of their limited resources. To do this effectively, organizations should determine their strengths and weaknesses. Organizations have to produce appropriate action plans to overcome these weaknesses and it is very important to prioritize the action plans according to limited resources. In the current practice, a sequential model for overcoming this prioritization problem has not been studied in the related literature. Therefore we proposed a fuzzy sequential model (FSM) to help organizations in strategic planning process. This model includes four steps which are; determining open to improvement areas (OIAs), determining the root cause, developing action plans for each root cause and determining priority of OIAs hence action plans respectively. The proposed model was applied in a local manufacturing small medium enterprise (SME) as a real world case study. Results of the case study show that relatively more prioritized OIAs for the SME are, “mid-level managers take inadequate initiatives”, “failure to comply with the design calendar in Research & Development (R&D) and Product Development (P&D) processes”, “small lot sizes”, respectively.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 102, December 2016, Pages 512-519
نویسندگان
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