کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5127563 1489054 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Bees Algorithm for multi-mode, resource-constrained project scheduling in molding industry
ترجمه فارسی عنوان
الگوریتم زنبورها برای برنامه ریزی چند متغیری، محدودیت منابع در صنایع ریخته گری
کلمات کلیدی
برنامه ریزی پروژه، الگوریتم زنبورها، استفاده از چند حالته، قالب تزریق پلاستیک،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


- Utilization of Bees Algorithm for mold project scheduling is investigated.
- A Bee-Based Mold Scheduling Model is proposed.
- Proposed model was able to generate suitable schedules for the projects.

In a resource-constrained environment project planning and scheduling becomes an extremely complex problem. For real life project schedules multi-mode resource requirements remarkably increase the complexity of and enlarge the respective solution spaces. Therefore schedulers require systematic methodologies compatible with the real world implementations in order to generate cost effective schedules. Similarly, plastic injection molding is known to be a “make-to order” process. The manufacturing of the mold which is a unique and essential component of plastic injection is considered kind of a project. The aim of this study is set to investigate the possibility of utilizing Bees Algorithm for single-resource, multi-mode, resource-constrained mold project scheduling in order to generate a systematic approach to solve the problems of this nature. A Bee-Based Mold Scheduling Model is therefore proposed and employed on a set of problems with different dimensions for the proof of concept. Detail description of an injection molding project together with respective performance analysis is also provided. After the implementation of the proposed methodology, it is well proven that, even for high number of activities and limited resources, the proposed method generates suitable schedules for the projects of this kind the implementation and respective modelling is explained and the results are discussed in detail within the text.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 112, October 2017, Pages 187-196
نویسندگان
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