Zobrazeno 1 - 10
of 10
pro vyhledávání: '"hadi akrami"'
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 11, Iss 31, Pp 35-53 (2014)
Master production scheduling is a midterm phase in planning which translates the long term aggregate production planning to a plan which determines the scheduling and magnitude of different products production. This problem requires investigating a w
Externí odkaz:
https://doaj.org/article/dbaa1aff199747f7a162c71a63f72131
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 11, Iss 29, Pp 21-39 (2013)
The development of Multiple Criteria Decision Making Techniques is to provide the possibility of using multiple criteria in decision making problems. Multi-criteria decision making problems primarily relate to choosing the best option among several a
Externí odkaz:
https://doaj.org/article/bc3137a177c440158b5fd82c3afc5f0c
Autor:
Shahrokh Shojaeean, Hadi Akrami
Publikováno v:
Journal of Intelligent Procedures in Electrical Technology, Vol 4, Iss 14, Pp 31-40 (2013)
Considering the growing trend of the consumption of the electric power and the global tendency to substitute new renewable sources of energy, this paper proposes a Monte Carlo based method to determine an optimal level of this change. Considering the
Externí odkaz:
https://doaj.org/article/39a69cc7171c4b72a39600c2af2a0c35
Publikováno v:
بهبود مدیریت, Vol 6, Iss 4, Pp 96-113 (2012)
Nowadays, supply chain management comprises the dominant paradigm of business areas around the world and facing major challenges of this concept, is the most essential and basic topics of interest of researchers. One of the major challenges in supply
Externí odkaz:
https://doaj.org/article/7897630ad0fe4a52a973e26ecd59906f
Autor:
Seyed Hossein Razavi Hajiagha, Shide Sadat Hashemi, Edmundas Kazimieras Zavadskas, Hadi Akrami
Publikováno v:
Technological and Economic Development of Economy, Vol 18, Iss 4 (2012)
The linear programming technique for multidimensional analysis of preference, known as LINMAP is one of the existing well-known ideal seeking methods for multi attribute decision making problems. This method originally is proposed under crisp and det
Externí odkaz:
https://doaj.org/article/b9c37c29e899448cb969e7da7c8711e4
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 11, Iss 31, Pp 35-53 (2015)
Master production scheduling is a midterm phase in planning which translates the long term aggregate production planning to a plan which determines the scheduling and magnitude of different products production. This problem requires investigating a w
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 11, Iss 29, Pp 21-39 (2013)
The development of Multiple Criteria Decision Making Techniques is to provide the possibility of using multiple criteria in decision making problems. Multi-criteria decision making problems primarily relate to choosing the best option among several a
Autor:
Shide Sadat Hashemi, Seyed Hossein Razavi Hajiagha, Edmundas Kazimieras Zavadskas, Hadi Akrami
Publikováno v:
Technological and Economic Development of Economy; Vol 18 No 4 (2012); 636-650
Technological and Economic Development of Economy, Vol 18, Iss 4 (2012)
Technological and Economic Development of Economy, Vol 18, Iss 4 (2012)
The linear programming technique for multidimensional analysis of preference, known as LINMAP is one of the existing well-known ideal seeking methods for multi attribute decision making problems. This method originally is proposed under crisp and det
Publikováno v:
Grey Systems: Theory and Application. 2:259-271
PurposeThe purpose of this paper is to extend an approach to solve linear programming problems with grey data and variables, based on a developed multi‐objective programming approach.Design/methodology/approachThe proposed approach to generally sol
Project management (PM) is one of the prominent fields in business and industry. Every task of an organization can be imagined as a project, being a coordinated set of activities toward a common goal. One important aspect of PM is analysing the infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411562e780535802484b8d4793f7056a
https://doi.org/10.5755/j01.ee.26.1.9930
https://doi.org/10.5755/j01.ee.26.1.9930