نوع مقاله: مقاله پژوهشی

نویسندگان

1 استادیار دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی

2 کارشناس ارشد مهندسی صنایع دانشگاه آزاد اسلامی واحد قزوین

چکیده

این مقاله یک مدل برنامه ریزی خطی صفر و یک چند هدفه با پارامترهای فازی را جهت انتخاب پرتفولیوی مناسبی از فرآیندها برای مهندسی مجدد در شرکت های تولیدی ارائه می کند. برای اندازه گیری و برآورد اثر مهندسی مجدد هر یک از فرآیندها در بهبود عملکرد شرکت، یک روش ارزیابی بر مبنای مجموع های جدید از شاخص های کمی و کیفی ایجاد شده است. به دلیل کلامی بودن برخی متغیرها و وجود داده های غیر قطعی از نظریه مجموعه های فازی استفاده شده است. لذا فرآیند تحلیل سلسه مراتبی، تصمیم گیری گروهی چند معیاره، نظریه فازی و نظریه پرتفولیو به منظور توسعه یک مدل انتخاب پرتفولیوی فرآیند، در کنار هم به کار برده شده است. در نتیجة این مدل، فرآیندهایی برای مهندسی مجدد انتخاب می شوند که حداکثر ارزش را برای سازمان ایجاد کرده و حداقل مقاومت کارکنان را در پی دارند. برای حل مسائل برنام هریزی خطی صفر و یک چند هدفه با پارامترهای فازی یک روش جدید با توجه به درجه عضویت اعداد فازی توسعه داده شده است. در پایان، یک مطالعه موردی جهت تشریح روش پیشنهادی ارائه شده است که عملی بودن و کارآیی آن را نشان می دهد.

کلیدواژه‌ها

عنوان مقاله [English]

Business Processes Reengineering Portfolio Selection

نویسندگان [English]

  • Maghsoud Amiri 1
  • Alireza Alinezhad 2

1 ∗ Assistant Professor, Department of Industrial Management, Allameh Tabataba’i University

2 Assistant Professor, Faculty of Industrial and Mechanical Engineering Islamic Azad University- Qazvin branch

چکیده [English]

This paper presents a multi-objective zero-one linear programming model with fuzzy parameters to select a proper portfolio of processes for reengineering in the manufacturing companies. Based on a new set
of qualitative and quantitative indicators, an evaluation method is presented to measure and estimate the reengineering effect of processes on the improvement of company performance. Fuzzy sets theory is used because some variables are verbal and we have some uncertain data. So, analytic hierarchy process, multi-criteria group decision making, fuzzy theory and portfolio theory all were used together to develop a process portfolio selection model. In this model, processes which make maximum value for company and cause the
least staff resistance are selected for reengineering. Also considering the membership degree of fuzzy numbers, a novel method is developed to solve multi-objective zero-one linear programming problems with fuzzy parameters. Finally, an illustrative case study is included to demonstrate the efficiency and practicality of the proposed model. 

کلیدواژه‌ها [English]

  • Business Process Reengineering (BPR)
  • process portfolio selection
  • Analytic Hierarchy Process (AHP)
  • performance measurement
  • Fuzzy Theory
  • multi-objective zero-one linear programming

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