Probabilistic Graphical Framework for Estimating Collaboration Levels in Cloud Manufacturing

被引:10
作者
Ahn, Gilseung [1 ]
Park, You-Jin [2 ]
Hur, Sun [1 ]
机构
[1] Hanyang Univ, Dept Ind & Management Engn, Ansan 15588, South Korea
[2] Chung Ang Univ, Sch Business Adm, Coll Business & Econ, Seoul 06974, South Korea
基金
新加坡国家研究基金会;
关键词
cloud manufacturing; collaboration level; probabilistic graphical model; collaborative supply chain management; SUPPLY CHAIN COLLABORATION; INFORMATION; PERFORMANCE; INDEX; CAPABILITIES; IMPACT;
D O I
10.3390/su9020277
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Cloud manufacturing (CM) is an emerging manufacturing model based on collaboration among manufacturing enterprises in a cloud computing environment. Naturally, collaboration is one of main factors that impacts performance in a variety of ways such as quality, lead time, and cost. Therefore, collaboration levels should be considered when solving operational issues in CM. However, there has been no attempt to estimate these levels between enterprises participating in CM. The collaboration level among enterprises in CM is defined as the ability to produce a manufacturing service that satisfies a customer by means of collaborative production amongst enterprises. We measure it as the conditional probability that collaborative performances are high given collaborative performance factors (e.g., resource sharing, information sharing, etc.). In this paper, we propose a framework for estimating collaboration levels. We adopt a probabilistic graphical model (PGM) to develop the framework, since the framework includes a lot of random variables and complex dependencies among them. The framework yields conditional probabilities that two enterprises will reduce the total cost, improve resource utilization or quality through collaboration between them given each enterprise's features, collaboration possibility, and collaboration activities. The collaboration levels the proposed framework yields will help to handle diverse operational problems in CM.
引用
收藏
页数:17
相关论文
共 56 条
[1]   An integrated index for identification of fatty liver disease using radon transform and discrete cosine transform features in ultrasound images [J].
Acharya, U. Rajendra ;
Fujita, Hamido ;
Sudarshan, Vidya K. ;
Mookiah, Muthu Rama Krishnan ;
Koh, Joel E. W. ;
Tan, Jen Hong ;
Hagiwara, Yuki ;
Chua, Chua Kuang ;
Junnarkar, Sameer Padmakumar ;
Vijayananthan, Anushya ;
Ng, Kwan Hoong .
INFORMATION FUSION, 2016, 31 :43-53
[2]   The Dynamic Enterprise Network Composition Algorithm for Efficient Operation in Cloud Manufacturing [J].
Ahn, Gilseung ;
Park, You-Jin ;
Hur, Sun .
SUSTAINABILITY, 2016, 8 (12)
[3]   Continuous Conditional Random Field Model for Predicting the Electrical Load of a Combined Cycle Power Plant [J].
Ahn, Gilseung ;
Hur, Sun .
INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2016, 15 (02) :148-155
[4]   Evaluation of supply chain collaboration: a case of apparel retail industry in India [J].
Anbanandam, R. ;
Banwet, D. K. ;
Shankar, Ravi .
INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2011, 60 (02) :82-+
[5]   Supporting capacity sharing in the cloud manufacturing environment based on game theory and fuzzy logic [J].
Argoneto, Pierluigi ;
Renna, Paolo .
ENTERPRISE INFORMATION SYSTEMS, 2016, 10 (02) :193-210
[6]   The impact of information sharing in supply chains on organisational performance: an empirical study [J].
Baihaqi, Imam ;
Sohal, Amrik S. .
PRODUCTION PLANNING & CONTROL, 2013, 24 (8-9) :743-758
[7]   Understanding the meaning of collaboration in the supply chain [J].
Barratt, M .
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2004, 9 (01) :30-42
[8]   Exploring internal and external supply chain linkages: Evidence from the field [J].
Barratt, Mark ;
Barratt, Ruth .
JOURNAL OF OPERATIONS MANAGEMENT, 2011, 29 (05) :514-528
[9]  
Bi Z. M., 2013, CLOUD MANUFACTURING
[10]   Two-way information sharing under supply chain competition [J].
Bian, Wenliang ;
Shang, Jennifer ;
Zhang, Juliang .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2016, 178 :82-94