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A two-sided matching model for complex equipment production of military–civilian merging platform with reference effects

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Abstract

Two-sided matching is a common research topic in our everyday life like marriage problem between men and women, schools and students. However, from the industrial perspective, the matching problem for complex equipment is a special research direction that needs professional participants that involve in the complex equipment production process. In this paper, a two-sided matching model for complex equipment production on the military–civilian integration platform is constructed that considers the reference satisfaction, and the reference satisfaction is firstly proposed which originates from operation management field. Moreover, the main influencing factors for complex equipment production are analyzed based on combined evaluation methods. The combined evaluation methods utilized in this research, one is DEMATEL (Decision Making Trial and Evaluation) method and the other is Grey–TOPSIS (Technique for Order Preference by Similarity for an Ideal Solution) method, are employed to acquire the joint importance results of the main analyzed influencing factors. The analyzed influencing factors are based on the evaluation indicators established in the evaluation indicator system for complex equipment production on the military–civilian merging platform, and the evaluation indicators are collected from relevant exist research. Then, suppliers and the manufacturers involved in the production of complex equipment give preference information to each other, and preference information is given on the basis of comprehensive analysis of the analyzed influencing factors which is by the aid of the aforementioned DEMATEL–Grey–TOPSIS analysis; meanwhile, the real satisfaction value of the suppliers and the manufacturers is obtained based on the preference value; then, the comprehensive reference satisfaction value could be obtained from the combination of the real satisfaction value and the expected satisfaction (real satisfaction value and disappointed satisfaction value), through aforementioned could we build a two-sided matching model for complex equipment on the military–civilian integration platform. Finally, we use a numerical example to illustrate the whole process about supplier–manufacturer matching for complex equipment production on the military–civilian integration platform.

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References

  • Abbas M, ElMaraghy H (2018) Co-platforming of products and assembly system. Omega 78:5–20

    Google Scholar 

  • Alpern S, Katrantzi I (2009) Equilibria of two-sided matching games with common preference. Eur J Oper Res 196:1214–1222

    MathSciNet  MATH  Google Scholar 

  • Amaldoss W, Jain S (2010) Reference groups and product line decisions: an experimental investigation of limited editions and product proliferation. Manage Sci 56(4):621–644

    MATH  Google Scholar 

  • Armstrong M, Wright J (2007) Two-sided markets, competitive bottlenecks and exclusive contracts. Econ Theor 32:353–380

    MathSciNet  MATH  Google Scholar 

  • Ashlagi I, Nikzad A (2020) What matters in tie-breaking rules? How competition guides design. J Econ Theor 190:1–64

  • Azevedo EM (2014) Imperfect competition in two-sided matching markets. Games Econ Behav 83:207–223

    MathSciNet  MATH  Google Scholar 

  • Baker RD (2000) Calculating the expected failure rate of complex equipment subject to hazardous repair. Int J Prod Econ 67:53–61

    Google Scholar 

  • Baron O, Hu M, Najafi-Asadolahi S, Qian Q (2015) Newsvendor selling to loss-averse consumers with stochastic reference points. Manuf Serv Oper Res. https://doi.org/10.1287/msom.2015.0532

    Article  Google Scholar 

  • Bartling B, Brandes L, Schunk D (2015) Expectations as reference points: field evidence from professional soccer. Manage Sci 61(11):2646–2661

    Google Scholar 

  • Bensmain Y, Dahane M, Bennekrouf M (2018) Optimal preventive remanufacturing planning of production equipment under operational and imperfect maintenance constraints: a hybrid genetic algorithm based approach. Reliabil Eng Syst Safe. https://doi.org/10.1016/j.ress.2018.09.001

    Article  Google Scholar 

  • Blancke O, Tahan A, Komljenovic D, Amyot N, Levesque M (2018) A holistic multi-failure mode prognosis approach for complex equipment. Reliabil Eng Syst Safe 180:136–151

    Google Scholar 

  • Cao Yu, Duan Y (2020) Joint production and pricing inventory system under stochastic reference price effect. Comput Ind Eng. https://doi.org/10.1016/j.cie.2020.106411

    Article  Google Scholar 

  • Cardozo RM (1965) An experiment study of customer effort, expectation and satisfaction. J Mark Res 2:244–249

    Google Scholar 

  • Chen N, Li M (2019) Pareto stability of in two-sided many-to-many with weak preference. J Math Econ 82:272–284

    MathSciNet  MATH  Google Scholar 

  • Chen M-F, Tzeng G-H (2004) Combing grey relation and topsis concepts for selecting an expatriate host country. Math Comput Modell 40:1473–1490

    MATH  Google Scholar 

  • Chen Xi, Li Z, Fan Z-P, Zhou X, Zhang X (2016) Matching demanders and suppliers in knowledge service: a method based on fuzzy axiomatic design. Inf Sci 347:130–145

    MathSciNet  Google Scholar 

  • Chen Li, Duan G, Wang S, Ma J (2020a) A Choquet integral based fuzzy logic approach to solve uncertain multi-criteria decision-making problem. Experts Syst Appl 149:1–12

    Google Scholar 

  • Chen K, Zha Y, Alwan LC, Zhang Lu (2020b) Dynamic pricing in the presence of price effect and consumer strategic behavior. Int J Prod Res 58(2):546–561

    Google Scholar 

  • Cheng Y, Chen H, He L, Song L, Wang Y (2016) Stackelberg model for incentive coordination of master-slave cooperation between manufacturers and suppliers of complex equipment. Chin J Manage Sci 1:91–96

    Google Scholar 

  • Childhouse, Towill DR (2011) Arcs of supply chain integration. Int J Prod Res 49(24):7441–7468

    Google Scholar 

  • Dasdemir E, Koksalan M, Ozturk DT (2020) A flexible reference point-based multi-objective evolutionary algorithm: an application to the uav route planning problem. Comput Oper Res. https://doi.org/10.1016/j.cor.2019.104811

    Article  MathSciNet  MATH  Google Scholar 

  • Dejian Y, Zeshui X (2019) Intuitionistic fuzzy two-sided matching model and its application to perssonel-position matching problems. J Oper Res Soc. https://doi.org/10.1080/01605682.2018.1546662

    Article  Google Scholar 

  • Diebold F, Bichler M (2017) Matching with indifference: a comparison of algorithms in the context of courses allocation. Eur J Oper Res 260:268–282

    MathSciNet  MATH  Google Scholar 

  • Eloranta V, Turunen T (2016) Platforms in service-driven manufacturing: Leveraging complexity by connecting, sharing and integrating. Ind Mark Manage 55:178–186

    Google Scholar 

  • Fan Z-P, Li M-Y, Zhang X (2018) Satisfied two-sided matching considering elation and disappointment of agents. Soft Comput 22:7227–7241

    MATH  Google Scholar 

  • Gale D, Shapely LS (1962) Colleges admissions and stability of marriage. Am Math Monthly 69(1):9–15

    MathSciNet  Google Scholar 

  • Ghorbani M, Ramezanian R (2020) Integration of carrier selection and supplier selection problem in humanitarian logistics. Comput Ind Eng. https://doi.org/10.1016/j.cie.2020.106473

    Article  Google Scholar 

  • Guo F, Cao E (2020) Can reference points explain vaccine hesitancy? A new perspective on their formulation and updating. Omega. https://doi.org/10.1016/j.omega.2019.102179

    Article  Google Scholar 

  • Han J, Li B, Liang H, Lai KK (2018) A novel two-sided matching decision method for technological knowledge supplier and demander considering the network collaboration effect. Soft Comput 22:5439–5451

    Google Scholar 

  • Hong Z, Wang H, Gong Y (2019) Green product design considering functional-product reference. Int J Prod Econ 210:155–168

    Google Scholar 

  • Hu J, Fu MC, Marcus SI (2007) A model reference adaptive search method for global optimization. Oper Res 55(3):549–568

    MathSciNet  MATH  Google Scholar 

  • Huang SH, Sheoran SK, Keskar H (2005) Computer-assisted supply chain configuration based on supply chain operations reference (SCOR) model. Comput Ind Eng 48:377–394

    Google Scholar 

  • Kuo-Jen Hu, Vincent FYu (2016) An integrated approach for the electronic contract manufacturer selection problem. Omega. https://doi.org/10.1016/j.omega.2015.08.010

    Article  Google Scholar 

  • Li W, Chen J (2020) Manufacturer’s vertical integration strategies in a three-tier supply chain. Transp Part E. https://doi.org/10.1016/j.tre.2020.101884

    Article  Google Scholar 

  • Li B, Yang Y, Su J, Liang Z, Wang S (2020) Two-sided matching decision-making model with hesitant fuzzy preference information for configuring cloud manufacturing tasks and resources. J Intell Manuf. https://doi.org/10.1007/s10845-020-01552-7

    Article  Google Scholar 

  • Lihao Lu, Gou Q, Tang W, Zhang J (2016) Joint pricing and advertising strategies with reference price effect. Int J Prod Res 54(17):5250–5270

    Google Scholar 

  • Liu A, Zhao Y, Meng X, Zhang Y (2019) A three phase fuzzy multi-criteria decision model for charging station of the sharing electric vehicle. Int J Prod Econ. https://doi.org/10.1016/j.ijpe.2019.107572

    Article  Google Scholar 

  • Madhavaram S, Badrinarayanan V, McDonald RE (2005) Integrated marketing communication (IMC) and brand identity as critical components of brand equity strategy: a conceptual framework and research propositions. J Advert 6:69–80

    Google Scholar 

  • Miao Y, Rong Du, Jin Li J, Westland C (2019) A two-sided matching model in the context of B2B export cross-border e-commerce. Electron Commer Res 19:841–861

    Google Scholar 

  • Morente-Molinera A, Cabreizo FJ, Mezei J, Carlsson C, Herrera-Viedma E (2020) A dynamic group decision making process for high number of alternatives using hesitant Fuzzy Ontologies and sentiment. Knowl-Based Syst. https://doi.org/10.1016/j.knosys.2020.105657

    Article  Google Scholar 

  • Myng Lee K, Yoo J, Kim S-W, Hong J-H (2019) Automatic machine learning platform. Int J Inf Manage 49:491–501

    Google Scholar 

  • Ng JCY, Song KKW, Tan Q (2018) Expanding the scope of application of user innovation theory—a case study of the civil-military integration project in China. Int J Innov Stud 2:33–41

    Google Scholar 

  • Nie M (2020) Space privatization in China’s national strategy of Military–Civilian Integration: an Appraisal of Critical Legal Challenges. Space Policy. https://doi.org/10.1016/j.spacepol.2020.101372

    Article  Google Scholar 

  • Ntabe N, Lebel L, Munson AD, Santa-Eulalia LA (2015) A systematic literature of the supply chain operations reference (SCOR) model application with special attention to environmental issues. Int J Prod Econ 169:310–332

    Google Scholar 

  • Olanrewaju OG, Dong ZS, Hu S (2020) supplier selection decision making in disaster response. Comput Ind Eng. https://doi.org/10.1016/j.cie.2020.106412

    Article  Google Scholar 

  • Pais J (2008) Random matching in college admissions problem. Econ Theor 35:99–116

    MathSciNet  MATH  Google Scholar 

  • Parrot (2014) Potential hazards from undetected corrosion in complex equipment: A case study of the destructive separation of an offshore heat exchanger. Eng Fail Anal 44:424–440

    Google Scholar 

  • Qian C, Zhang Y, Liu Y, Wang Z (2019) A cloud service platform integrating additive and subtractive manufacturing with high resource efficiency. J Clean Prod 241:1–16

    Google Scholar 

  • Radatz H, Schroder M, Becker C (2018) Selection of equipment modules for a flexible modular production plant by a multi-objective evolutionary algorithm. Comput Chem Eng. https://doi.org/10.1016/j.compchemeng.2018.12.009

    Article  Google Scholar 

  • Ravi Ravindran R, Bilsel U, Wadhwa V, Yang T (2010) Risk adjusted multicriteria sipplier selection models with applications. Int J Prod Res 48(2):405–424

    MATH  Google Scholar 

  • Reza Davoudabadi S, Mousavi M, Sharifi E (2019) A new integrated weighting and ranking model on entropy, DEA and PCA considering two aggregation approaches for resilient supplier selection problem. J Comput Sci. https://doi.org/10.1016/j.jocs.2019.101074

    Article  Google Scholar 

  • Riley C, Summers B, Duxbury D (2020) Capital gains overhang with a dynamic preference point. Manage Sci. https://doi.org/10.1287/mnsc.2019.3404

    Article  Google Scholar 

  • Sevkli M (2010) An application of the fuzzy ELECTRE method for supplier selection. Int J Prod Res 48(12):3393–3405

    MATH  Google Scholar 

  • Shams-Shoaaee SS, Hassini E (2020) Price optimization with reference price effects: a generalized benders’ decomposition method and a myopic heuristic approach. Eur J Oper Res. https://doi.org/10.1016/j.ejor.2019.07.020

    Article  MathSciNet  MATH  Google Scholar 

  • Shi Y, Cui X, Yao J, Li D (2015) Dynamic trading with reference point adaptation and loss aversion. Oper Res. https://doi.org/10.1287/opre.2015.1399

    Article  MathSciNet  MATH  Google Scholar 

  • Stevic Z, Pamucar D, Puska A, Chatterjee P (2019) Sustainable supplier selection in healthcare industries using a new MCDM method:measurement alternatives an ranking according to compromise solution (MARCOS). Comput Ind Eng. https://doi.org/10.1016/j.cie.2019.106231

    Article  Google Scholar 

  • Strub MS, Li D (2019) Failing to foresee the updating of the reference point leads to time-inconsistent investment. Oper Res. https://doi.org/10.1287/opre.2019.1872

    Article  MATH  Google Scholar 

  • Sueyoki T, Sekitani K (2007) The measurement of returns to scale under a simultaneous occurrence of multiple solutions in a reference set and a supporting hyperplane. Eur J Oper Res 181:549–570

    MathSciNet  MATH  Google Scholar 

  • Sun B, Qi C, Ma W, Wang T, Zhang L, Jiang C (2020) Variable precision diversified attribute multigranulation fuzzy rough set-based multi-attribute group decision making problems. Comput Ind Eng 142:1–15

    Google Scholar 

  • Tao Y-T, Dauzere-Peres S, Blue J, Chang S-C (2018) Impact of integrating equipment health in production scheduling for semiconductor fabrication. Comput Ind Eng 120:450–459

    Google Scholar 

  • te Kulve H, Smit WA (2003) Civilian-military co-operation strategies in developing new technologies. Res Policy 32:855–970

    Google Scholar 

  • Tereyagoglu N, Fader PS, Veeraraghavan S (2017) Multiattribute loss aversion and preference dependence: evidence from the performing arts industry. Manage Sci. https://doi.org/10.1287/mnsc.2016.2605

    Article  Google Scholar 

  • Unver U (2005) On the survival of some unstable two-sided matching mechanisms. Int J Game Theory 33:239–254

    MathSciNet  MATH  Google Scholar 

  • Vi CT, Marzo A, Memoli G, Maggioni E, Ablart D, Yeomans M, Obrist M (2020) LeviSense: a platform for multisensory in levitating food and insights into its effects on flavor perception. Int J Hum Comput Stud 139:1–14

    Google Scholar 

  • Vinay Ramani KS, Rao M (2017) Paths to stability and uniqueness in two-sided matching markets. Int J Game Theory. https://doi.org/10.1007/s00182-017-0603-9

    Article  MATH  Google Scholar 

  • Wang R (2018) When prospect theory meets consumer choice models: assortment and pricing management with reference prices. Manuf Serv Oper Manage. https://doi.org/10.1287/msom.2017.0688

    Article  Google Scholar 

  • Wang R, Nan G, Chen L, Li M (2020) Channel integration choices and pricing strategies for competing dual-channel retailers. IEEE Trans Eng Manage 99:1–15

    Google Scholar 

  • Xiao Q, Chen L, Xie M, Wang C (2020) Optimal contract design in sustainable supply chain: interactive impacts of fairness concern and overconfidence. J Oper Res Soc. https://doi.org/10.1080/01605682.2020.1727784

    Article  Google Scholar 

  • Yan Q, Zhou S, Sipeng Wu (2018) The influences of tourists’ emotion on the selection of electronic word of mouth platforms. Tourism Manage 66:348–363

    Google Scholar 

  • Yang J-b, Dong-ling Xu, Yang S (2012) Integrated efficiency and trade-off analyses using a DEA-oriented interactive minimax reference point approach. Comput Oper Res 39:1062–1073

    MathSciNet  MATH  Google Scholar 

  • Yazici A (2016) Probabilistic stable rules and Nash equilibiria in two-sided matching problems. Int J Game Theory. https://doi.org/10.1007/s00182-015-0525-3

    Article  Google Scholar 

  • Yoon J, Talluri S, Yildiz H, Ho W (2018) Models for supplier selection and risk mitigation. Int J Prod Res 56(10):3636–3661

    Google Scholar 

  • Zhang J, Gou Q, Liang L, Huang Z (2013) Supply chain coordination through cooperative advertising with reference price effect. Omega 41:345–353

    Google Scholar 

  • Zhang C, Atasu A, Ayer T, Toktay B (2019) Truthful mechanisms for medical surplus product allocation. Manuf Serv Oper Manage. https://doi.org/10.1298//msom.2018.0770

    Article  Google Scholar 

  • Zhang Q, Zhang H, Yan Y, Yan J, He J, Li Z, Shang W, Liang Y (2021) Sustainable and clean oilfield development-How access to wind power can make offshore platforms more sustainable with production stability. J Clean Prod. https://doi.org/10.1016/j.jclepro.2021.126225

    Article  Google Scholar 

  • Zhao Y, Jiang S (2019) Armed conflict in outer space: legal concept, practice and future regulatory regime. Space Policy 48:50–59

    Google Scholar 

  • Zheng Y-J, Wang Y, Ling H, Xue Yu, Chen S-Y (2017) Integrated civilian-military pre-positioning of emergency supplies: a multiobjective optimization approach. Appl Soft Comput 58:732–741

    Google Scholar 

  • Zhou J, Zhao R, Wang W (2019) Pricing decision of a manufacturer in a dual-channel supply chain with asymmetric information. Eur J Oper Res 278:809–820

    MathSciNet  MATH  Google Scholar 

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Funding

The research was supported by National Social Science Foundation of China (No. 19BJY094).

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Authors and Affiliations

  1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Yudao Street 29th, Nanjing, China

    Xin Huang, Hong-zhuan Chen, Wei-ming Wang & Malik Nafis

  2. School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Peng Ma

  3. School of Business, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Xiang Cai

  4. Department of Management Science and Engineering, School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Hong-zhuan Chen

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  1. Xin Huang
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  2. Hong-zhuan Chen
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  5. Xiang Cai
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Correspondence to Hong-zhuan Chen.

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Huang, X., Chen, Hz., Ma, P. et al. A two-sided matching model for complex equipment production of military–civilian merging platform with reference effects. Soft Comput 25, 10399–10421 (2021). https://doi.org/10.1007/s00500-021-05731-3

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