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بهینه سازی سبد پروژه با اثر متقابل با استفاده از الگوریتم بهینه سازی مبتنی بر آموزش و یادگیری (TLBO) | ||
مدیریت صنعتی | ||
مقاله 6، دوره 7، شماره 3، مهر 1394، صفحه 511-532 اصل مقاله (578 K) | ||
نوع مقاله: مقاله علمی پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/imj.2015.57262 | ||
نویسندگان | ||
رضا شیخ* 1؛ مریم آذری2 | ||
1استادیار گروه مدیریت، دانشکدۀ مهندسی صنایع و مدیریت، دانشگاه صنعتی شاهرود، شاهرود، ایران | ||
2کارشناسیارشد رشتۀ MBA، دانشکدۀ مهندسی صنایع و مدیریت، دانشگاه صنعتی شاهرود، شاهرود، ایران | ||
چکیده | ||
امروزه سازمانها با انبوهی از پروژهها و فرصتهای سرمایهگذاری مواجهاند. با وجود ضرورت توجه به معیارهای مختلف، پیچیدگی مدلهای چندهدفه در کنار ضعف ابزارهای بهینهسازی در حل این مدلها، مدیران را مجبور ساخته تا معیارهای انتخاب را محدودتر کرده و اغلب به معیارهای مالی اکتفا کنند. در این مقاله با بهرهگیری از الگوریتمی کارا مبتنی بر فرایند آموزش و یادگیری علاوهبر معیارهای مالی، عواملی همچون توانایی سازمان در اجرای موفقیتآمیز پروژهها، میزان تحقق راهبردهای سازمان در پرتو پروژههای انتخابی و همچنین تأثیر متقابل مجموعه پروژههای منتخب بر یکدیگر در قالب یک مدل برنامهریزی صفر و یک چندهدفه بررسی و بهینه گردید. در نهایت مدل ارائهشده در یک سازمان پروژهمحور اعمال و نحوۀ عملکرد الگوریتم پیشنهادی با الگوریتمهای ژنتیک و بهینهسازی گروه ذرات مقایسه شد. نتایج حاکی از توانایی الگوریتم پیشنهادی در دستیابی به پاسخ بهینه و برتری آن نسبت به سایرین است. | ||
کلیدواژهها | ||
اثر متقابل پروژهها؛ الگوریتم فراابتکاری خود بهینه مبتنی بر آموزش و یادگیری؛ بهینهسازی چندهدفه؛ بهینهسازی سبد پروژه | ||
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