Partner selection patterns in transition: The case of Turkish and Moroccan minorities in Belgium

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.

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Novel Single-Valued Neutrosophic Combined Compromise Solution Approach for Sustainable Waste Electrical and Electronics Equipment Recycling Partner Selection

IEEE Transactions on Engineering Management ◽

10.1109/tem.2020.3033121 ◽

2020 ◽

pp. 1-15

Author(s):

Pratibha Rani ◽

Arunodaya Raj Mishra

Keyword(s):

Partner Selection ◽

Compromise Solution ◽

Solution Approach

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How to Choose the Right Partners in Cross-Sector Partnership in Emerging Countries? A Political Embeddedness Perspective

Business & Society ◽

10.1177/0007650320982600 ◽

2020 ◽

pp. 000765032098260

Author(s):

Jiawen Chen ◽

Qian Zhang ◽

Linlin Liu

Keyword(s):

Close Relationships ◽

Social Trust ◽

Social Performance ◽

Partner Selection ◽

Emerging Countries ◽

Social Partnership ◽

The Social ◽

The Government ◽

The Right ◽

Relational Risks

In emerging countries such as China where the government is gradually withdrawing from involvement in social affairs, firms face dilemmas around relational risks of partnering with different forms of nongovernmental organizations (NGOs). Affiliated NGOs (those with close relationships with government) are more likely to sabotage the social partnership through misconduct, and are also capable of higher standards of collaborative social performance compared with independent NGOs (those with few such relationships). This study proposes that firms’ political embeddedness helps mitigate relational risks in cross-sector partner selection, and finds that politically connected firms are more likely to partner with affiliated NGOs than with independent NGOs in China. This effect is more pronounced for private firms that are less socially oriented or are located in regions with less-developed formal institutions and social trust. Our findings highlight relational risks relevant to cross-sector partner selection literature and offer important insights into how relational risks can be reduced in cross-sector partner selection in emerging countries.

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Developing an Outsourcing Partner Selection Model for Process with Two-Sided Specification Using Capability Index and Manufacturing Time Performance Index

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539319500153 ◽

2019 ◽

Vol 26 (03) ◽

pp. 1950015 ◽

Cited By ~ 4

Author(s):

Kuen-Suan Chen ◽

Tsang-Chuan Chang ◽

Yun-Tsan Lin

Keyword(s):

Performance Index ◽

Business Models ◽

Partner Selection ◽

Selection Model ◽

Index Formula ◽

Time Performance ◽

Capability Index ◽

Point Estimates ◽

Manufacturing Time

In the face of fierce global competition, firms are outsourcing important but nonessential tasks to external professional companies. Corporations are also turning from competitive business models to cooperative strategic partnerships in hopes of swiftly responding to consumer needs and enhancing overall efficiency and industry competitiveness. This research developed an outsourcing partner selection model in hopes of helping firms select better outsourcing partners for long-term collaborations. Process quality and manufacturing time are vital when evaluating outsourcing partner. We therefore used process capability index [Formula: see text] and manufacturing time performance index [Formula: see text] in the proposed model. Sample data from random samples are needed to calculate the point estimates of indices, however, it is impossible to obtain a sample with a structure completely identical to that of the population, which means that sampling generates unavoidable sampling errors. The reliability of point estimates are also uncertain, which inevitably leads to misjudgment in some cases. Thus, to reduce estimate errors and increase assessment reliability, we calculated the [Formula: see text]% confidence intervals of the indices [Formula: see text] and [Formula: see text], then constructed the joint confidence region of [Formula: see text] and [Formula: see text] to develop an outsourcing partner selection model that will help firms select better outsourcing partners for long-term collaborations. We also provide a case as an illustration of how the proposed selection model is implemented.

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