Formulating cross-sector horizontal coalition strategies for multi-product assembly systems with a common component

Abstract This study examines various coalition structures for a multiproduct assembly system with a common component. Under different forms of coalition in the channel, the common component supplier may form partial or grand coalitions with the other suppliers to achieve maximum profit and eliminate supply chain inefficiencies. The optimal pricing decisions of suppliers are characterized and possible coalition structures are proposed. Results document that coalition structures, product demand characteristics, and manufacturing costs profoundly impact optimal wholesale price decisions. In addition, component suppliers are not always worse off even when the remaining suppliers form a partial coalition. Conditions under which all suppliers form a grand coalition are also provided to introduce a fair allocation and a non-empty core. A numerical experiment is conducted to show the influence of model parameters on the profit of different coalition structures. Profit allocation between the suppliers under the multiproduct assembly system is also discussed.

[1]  Surajit Bag,et al.  Dynamic capabilities and institutional theories for Industry 4.0 and digital supply chain , 2020 .

[2]  Jeffrey H. Dyer Specialized supplier networks as a source of competitive advantage : Evidence from the auto industry , 1996 .

[3]  Maurizio Faccio,et al.  Assembly system design in the Industry 4.0 era: a general framework , 2017 .

[4]  Jeffrey H. Dyer,et al.  The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage , 1998 .

[5]  M. Sony Pros and cons of implementing Industry 4.0 for the organizations: a review and synthesis of evidence , 2020 .

[6]  Mahesh Nagarajan,et al.  A Bargaining Framework in Supply Chains: The Assembly Problem , 2008, Manag. Sci..

[7]  E. Manavalan,et al.  A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements , 2019, Comput. Ind. Eng..

[8]  Ivo J. B. F. Adan,et al.  Assemble-to-order systems: A review , 2017, Eur. J. Oper. Res..

[9]  Neera Jain,et al.  Improving Human-Machine Collaboration Through Transparency-based Feedback – Part I: Human Trust and Workload Model , 2019, IFAC-PapersOnLine.

[10]  K. R. Baker,et al.  The Effect of Commonality on Safety Stock in a Simple Inventory Model , 1986 .

[11]  Fernando Bernstein,et al.  Incentives and Commonality in a Decentralized Multiproduct Assembly System , 2007, Oper. Res..

[12]  Yigal Gerchak,et al.  Capacity Games in Assembly Systems with Uncertain Demand , 2003, Manuf. Serv. Oper. Manag..

[13]  Fernando Bernstein,et al.  Decentralized Pricing and Capacity Decisions in a Multitier System with Modular Assembly , 2004, Manag. Sci..

[14]  Sarah R. Fletcher,et al.  Adaptive automation assembly: Identifying system requirements for technical efficiency and worker satisfaction , 2020, Comput. Ind. Eng..

[15]  George Q. Huang,et al.  Game-theoretic approach to simultaneous configuration of platform products and supply chains with one manufacturing firm and multiple cooperative suppliers , 2010 .

[16]  Christoph H. Glock,et al.  Editorial: Human factors in industrial and logistic system design , 2017, Comput. Ind. Eng..

[17]  Guoqing Zhang,et al.  Pricing policies for a dual-channel retailer with cross-channel returns , 2018, Comput. Ind. Eng..

[18]  N. Kukushkin Strong Nash equilibrium in games with common and complementary local utilities , 2017 .

[19]  Mauro Gamberi,et al.  Motion Analysis System (MAS) for production and ergonomics assessment in the manufacturing processes , 2020, Comput. Ind. Eng..

[20]  William G. Ferrell,et al.  Information sharing in supply chain collaboration , 2018, Comput. Ind. Eng..

[21]  Ali Siadat,et al.  A simulation-based approach for time allowances assessment during production system design with consideration of worker's fatigue, learning and reliability , 2020, Comput. Ind. Eng..

[22]  Paola Fantini,et al.  Placing the operator at the centre of Industry 4.0 design: Modelling and assessing human activities within cyber-physical systems , 2018, Comput. Ind. Eng..

[23]  R. Grant,et al.  Environments: Organizational Capability as Knowledge Integration , 2022 .

[24]  M. Porter,et al.  How Smart, Connected Products Are Transforming Competition , 2014 .

[25]  Eckart Uhlmann,et al.  A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance , 2018, ML4CPS.

[26]  Shuya Yin,et al.  Alliance Formation Among Perfectly Complementary Suppliers in a Price-Sensitive Assembly System , 2010, Manuf. Serv. Oper. Manag..

[27]  Maurizio Faccio,et al.  Workstation‒Operator Interaction in 4.0 Era: WOI 4.0 , 2018 .

[28]  Paolo Renna Negotiation policies and coalition tools in e-marketplace environment , 2010, Comput. Ind. Eng..

[29]  M. Nagarajan,et al.  Dynamic Stable Supplier Coalitions and Invariance in Assembly Systems with Commodity Components , 2014, Oper. Res..

[30]  Benoît Eynard,et al.  Digital and organizational transformation of industrial systems , 2020, Comput. Ind. Eng..

[31]  Matthias Neubauer,et al.  Lot-Size One Production , 2017 .

[32]  Tingting Li,et al.  Alliance formation in assembly systems with quality-improvement incentives , 2020, Eur. J. Oper. Res..

[33]  M. Chwe Farsighted Coalitional Stability , 1994 .

[34]  Katrin Fettig,et al.  Impact of Industry 4.0 on Organizational Structures , 2018, 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC).

[35]  Birgit Vogel-Heuser,et al.  Key Directions for Industrial Agent Based Cyber-Physical Production Systems , 2019, 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS).

[36]  John J. J. Chen,et al.  Operator 4.0 or Maker 1.0? Exploring the implications of Industrie 4.0 for innovation, safety and quality of work in small economies and enterprises , 2020, Comput. Ind. Eng..

[37]  Daniel Granot,et al.  Formation of Alliances in Internet-Based Supply Exchanges , 2005, Manag. Sci..

[38]  Francisco Chinesta,et al.  Intelligent assistant system as a context-aware decision-making support for the workers of the future , 2020, Comput. Ind. Eng..

[39]  D. Schmeidler The Nucleolus of a Characteristic Function Game , 1969 .

[40]  Kai Li,et al.  Investing in suppliers with capacity constraints in a decentralized assembly system , 2020, Comput. Ind. Eng..

[41]  Yunzeng Wang,et al.  Joint Pricing-Production Decisions in Supply Chains of Complementary Products with Uncertain Demand , 2006, Oper. Res..

[42]  Xiang Fang,et al.  Component Procurement Strategies in Decentralized Assemble-to-Order Systems with Time-Dependent Pricing , 2008, Manag. Sci..

[43]  Jie Wei,et al.  Integration strategies of two supply chains with complementary products , 2018, Int. J. Prod. Res..

[44]  Jay Lee,et al.  Smart Agents in Industrial Cyber–Physical Systems , 2016, Proceedings of the IEEE.

[45]  Yuhong He,et al.  Joint Selling of Complementary Components Under Brand and Retail Competition , 2015, Manuf. Serv. Oper. Manag..

[46]  Zhi-Long Chen,et al.  Supply Chain Scheduling: Conflict and Cooperation in Assembly Systems , 2007, Oper. Res..

[47]  Jihong Ou,et al.  Coordination of stocking decisions in an assemble-to-order environment , 2008, Eur. J. Oper. Res..

[48]  Stef Tijs,et al.  The τ-value, The core and semiconvex games , 1985 .

[49]  Gérard P. Cachon Supply Chain Coordination with Contracts , 2003, Supply Chain Management.

[50]  Sergio de Cesare,et al.  A Conceptual Framework for Servitization in Industry 4.0: Distilling Directions for Future Research , 2018 .

[51]  Yunzeng Wang,et al.  Revenue‐Sharing vs. Wholesale‐Price Contracts in Assembly Systems with Random Demand , 2004 .

[52]  I. Gunawan,et al.  The Implementation of Industry 4.0 - A Systematic Literature Review of the Key Factors , 2020 .

[53]  Tiaojun Xiao,et al.  Pricing and replenishment policies in a supply chain with competing retailers under different retail behaviors , 2017, Comput. Ind. Eng..

[54]  S. Tijs,et al.  Bounds for the core of a game and the t-value , 1981 .

[55]  M. J. Rosenblatt,et al.  Component commonality effects on inventory costs , 1996 .

[56]  Ashok Srinivasan,et al.  Leadership and Competition in Network Supply Chains , 2008, Manag. Sci..

[57]  Daniel Granot,et al.  Competition and Cooperation in Decentralized Push and Pull Assembly Systems , 2008, Manag. Sci..

[58]  Hans Wortmann,et al.  Work design in future industrial production: Transforming towards cyber-physical systems , 2020, Comput. Ind. Eng..

[59]  Chrysovalantou Ziogou,et al.  A novel social gamified collaboration platform enriched with shop-floor data and feedback for the improvement of the productivity, safety and engagement in factories , 2020, Comput. Ind. Eng..

[60]  O. Williamson Credible Commitments: Using Hostages to Support Exchange , 1983 .

[61]  Henk Norde,et al.  Setting the right incentives for global planning and operations , 2016, Eur. J. Oper. Res..

[62]  Björn Johansson,et al.  A framework for operative and social sustainability functionalities in Human-Centric Cyber-Physical Production Systems , 2020, Comput. Ind. Eng..

[63]  Harun Taşkın,et al.  Analysis of the factors affecting the Industry 4.0 tendency with the structural equation model and an application , 2020, Comput. Ind. Eng..

[64]  W. Shen,et al.  The Internet of Things in Manufacturing: Key Issues and Potential Applications , 2018, IEEE Systems, Man, and Cybernetics Magazine.

[65]  E. Giménez,et al.  Decision-driven marketing , 2014 .

[66]  M. Magazine,et al.  Component Commonality with Service Level Requirements , 1988 .

[67]  Jing-Sheng Song,et al.  Supply Chain Operations: Assemble-to-Order Systems , 2003, Supply Chain Management.

[68]  Johan Stahre,et al.  The Operator 4.0: Towards socially sustainable factories of the future , 2020, Comput. Ind. Eng..

[69]  E. Fleisch,et al.  Exploitation or exploration in service business development? : Insights from a dynamic capabilities perspective , 2010 .

[70]  Dovev Lavie The Competitive Advantage of Interconnected Firms: An Extension of the Resource-Based View , 2006 .

[71]  Xiao Huang,et al.  United We Stand or Divided We Stand? Strategic Supplier Alliances Under Order Default Risk , 2014, Manag. Sci..

[72]  Jose Arturo Garza-Reyes,et al.  A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies' enablers , 2020, Comput. Ind..

[73]  N. Jazdi,et al.  Cyber physical systems in the context of Industry 4.0 , 2014, 2014 IEEE International Conference on Automation, Quality and Testing, Robotics.

[74]  Mahesh Nagarajan,et al.  Coalition Stability in Assembly Models , 2007, Oper. Res..

[75]  Neera Jain,et al.  Improving Human-Machine Collaboration Through Transparency-based Feedback – Part II: Control Design and Synthesis , 2019, IFAC-PapersOnLine.

[76]  Åsa Fast-Berglund,et al.  Forming a cognitive automation strategy for Operator 4.0 in complex assembly , 2020, Comput. Ind. Eng..

[77]  Damien Trentesaux,et al.  Designing intelligent manufacturing systems through Human-Machine Cooperation principles: A human-centered approach , 2017, Comput. Ind. Eng..

[78]  Lloyd S. Shapley,et al.  On balanced sets and cores , 1967 .

[79]  John Sutton,et al.  Technology and Market Structure: Theory and History , 1998 .

[80]  Dirk Schaefer,et al.  On Servitization of the Manufacturing Industry in the UK , 2016 .

[81]  Elodie Adida,et al.  Competition and Coordination in a Two-Channel Supply Chain , 2015 .

[82]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[83]  Fernando Bernstein,et al.  Inventory Policies in a Decentralized Assembly System , 2006, Oper. Res..

[84]  Li Jiang,et al.  Supplier Competition in Decentralized Assembly Systems with Price-Sensitive and Uncertain Demand , 2010, Manuf. Serv. Oper. Manag..

[85]  Uday S. Karmarkar,et al.  Competition in Multiechelon Assembly Supply Chains , 2005, Manag. Sci..

[86]  C. Oliver SUSTAINABLE COMPETITIVE ADVANTAGE: COMBINING INSTITUTIONAL AND RESOURCE- BASED VIEWS , 1997 .

[87]  Hamideh Afsarmanesh,et al.  Collaborative Networks as a Core Enabler of Industry 4.0 , 2017, PRO-VE.

[88]  T. Sowlati,et al.  Profit allocation in collaborative bioenergy and biofuel supply chains , 2019 .

[89]  Fazel Ansari,et al.  A knowledge-based approach for representing jobholder profile toward optimal human–machine collaboration in cyber physical production systems , 2020 .

[90]  Hongyu Pei Breivold Towards factories of the future: migration of industrial legacy automation systems in the cloud computing and Internet-of-things context , 2019, Enterp. Inf. Syst..

[91]  Lin Li,et al.  Impact of power structures in a subcontracting assembly system , 2018, Ann. Oper. Res..

[92]  Uday S. Karmarkar,et al.  Competition and Structure in Serial Supply Chains with Deterministic Demand , 2001, Manag. Sci..

[93]  A. Eynan The impact of demands' correlation on the effectiveness of component commonality , 1996 .

[94]  Jian Chen,et al.  Single‐Period Two‐Product Assemble‐to‐Order Systems with a Common Component and Uncertain Demand Patterns , 2010 .

[95]  Antonio Padovano,et al.  Smart operators in industry 4.0: A human-centered approach to enhance operators' capabilities and competencies within the new smart factory context , 2017, Comput. Ind. Eng..