Innovation is becoming a top priority for many firms with the aim to catering for customers' preferences. Hence, more and more firms are exploring new ways to improve their innovation competencies. The ‘crowdsourcing online design’ mode has been viewed as an effective and efficient tool to aid firms to enhance their strength in designing innovation, and it is a belief that this kind of online initiative can be supplementary to offline design and sharp the edge of firms' competition. However, to our best knowledge, the problem of how to seamlessly align upstream online crowdsourcing design with downstream production, in the scenario of supply chain, is still unaddressed. To solve this problem, a crowdsourcing supply chain consists of an offline designing firm, multiple online designers, a supplier and a manufacturer is studied to maximize the overall profit of the hybrid on/offline system, using mixed integer nonlinear programming (MINLP) approach.
The main work in this paper includes four parts. First, a stylized framework in which crowdsourcing supply chain is driven by order due-date and scheduled on regular time and overtime in the presence of Engineering to order (ETO) is proposed. Second, in this framework, a supply chain production model with ETO is formulated by taking into account that characteristics of offline customized design, and the determinants are identified is extended while implementing offline design/production system. Third, the above model to the hybrid on/offline model of crowdsourcing supply chain, and the impact of due-date and crowdsourcees on production operation is analyzed, and the switching conditions are devised for on/offline design. Finally, the particle swarm algorithm is employed to solve the above models. Through the numerical study the influence of design allocation between, online and offline, regular time and overtime, on the crowdsourcing supply chain profit, are explored respectively. Further, a sensitivity analysis is conducted to identify the critical parameters for positing and controlling the potential risks.
The results show that, when the upcoming order is in a small quantity, through hybrid on/offline customized design does not obviously and significantly reduce cost of crowdsourcing supply chain, whereas the advantage of cost-saving and risk-mitigating in crowdsourcing supply chain can be obtained with the increase in the number of order. Moreover, it also reveals that for online design order, it had better arrange at the beginning and end of periods. Meanwhile, online design orders should be avoided to allocate to produce at the regular time once scheduled for offline design, instead, it is more profitable to produce at the overtime. In addition, it is interesting to find that, by giving more reward to crowdsourcees, there is little effect on the change in entire supply chain cost, on the contrary, the incentives encourage more crowdsources to engage in crowdsourcing online design.
LI Ji-zi, ZHANG Nian, LIU Chun-ling
. Decision-making Analysis of Production Model for Crowdsourcing Supply Chain with Hybrid On/Off Line Customized Design[J]. Chinese Journal of Management Science, 2018
, 26(11)
: 132
-144
.
DOI: 10.16381/j.cnki.issn1003-207x.2018.11.014
[1] 金亮, 张旭梅, 但斌, 等. 交叉销售下"线下体验+线上零售"的O2O供应链佣金契约设计[J]. 中国管理科学, 2017, 25(11):33-46.
[2] Amrani-Zouggar A, Zolghadri M. Analysing the shift of product management strategies concerning ETO products[J]. Journal of Design Research, 2014, 12(1/2):10-31.
[3] 黎继子,刘春玲,张念. 互联网+下的众包供应链的运作模式分析——以海尔和苏宁为例[J]. 科技进步与对策, 2016,33(21):24-31.
[4] 黎继子,周兴建,刘春玲,等.众包供应链创新发展路径分析[J].科技进步与对策, 2016, 33(6):14-19.
[5] Huberma N. Crowdsourcing and attention[J]. Computer, 2008,41(11):103-105.
[6] Piotr O. Why bother? Examining the motivations of users in large-scale crowd-powered online initiatives[D]. University of Alberta, 2010.
[7] 夏恩君, 赵轩维. 网络众包参与者行为的影响因素研究-基于小米网络众包社区的实证研究研究与发展管理[J]. 2017, 29(1):10-21.
[8] Bayus L. Crowdsourcing new product ideas over time:An analysis of the Dell idea storm community[J]. Management Science, 2013, 59(1):226-244.
[9] Kosonen M, Henttonen K. Cheer the crowd? Facilitating user participation in idea crowdsourcing[J]. International Journal of Technology Marketing, 2015, 10(1):95-110.
[10] Schweitzer M, Buchinger W, Gassmann O, et al. Crowdsourcing:Leveraging innovation through online idea competitions[J]. Technology Management, 2012, 55(3):32-38.
[11] Penin J. Crowdsourcing of inventive activities:Definition and limits[J]. International of Innovation and Sustainable Development, 2011, 5(2):246-259.
[12] 张永云, 张生太,吴翠花. 嵌入还是卷入:众包个体缘何贡献知识?[J]. 科研管理, 2017, 38(5):30-37.
[13] Eickhoff C, De Vries P. Increasing cheat robustness of crowdsourcing tasks[J]. Information Retrieval, 2013,16(2):121-137.
[14] Hirth M, Hoffeld T, Tran-Gia P. Analyzing costs and accuracy of validation mechanisms for crowdsourcing platforms[J]. Mathematical and Computer Modeling, 2013,57(11-12):2918-2932.
[15] 郝琳娜,侯文华, 张李浩,等. 基于众包虚拟社区的诚信保障和信誉评价机制研究[J]. 系统工程理论与实践,2014,34(11):2837-2849.
[16] 葛如一, 张朋柱. 众包竞赛中众包方的反馈策略[J]. 系统管理学报, 2015,(6):821-827.
[17] Cigolini R, Pero M, Sianesi A. When ETO companies design the supply chain during new product development process[J]. International Journal of Engineering Science & Technology, 2014, 6(3):30-41.
[18] 黄长林,谭建荣,张树有,等.按单设计型复杂产品多层次配置设计方法研究[J]. 计算机集成制造系统, 2015, 13(7):1261-1267.
[19] 鲁玉军,祁国宁.基于MC环境的面向订单产品设计方法研究[J].中国机械工程, 2016, 17(22):2354-2359.
[20] Levandowski E, Jiao R, Johannesson H. A two-stage model of adaptable product platform for engineering-to-order configuration design[J]. Journal of Engineering Design, 2015,26(7-9):220-235.
[21] Sjøbakk B, Bakås O, Bondarenko O. Designing a performance measurement system to support materials management in engineer-to-order:A case study[J]. Advances in Manufacturing, 2015, 3(2):111-122.
[22] Weng Jiahua, Akasaka S, Hoshino A. A study on value setting of product functional specifications with consideration of parts and inventory costs for engineer-to-order production[J]. Asian Journal of Management Science and Applications, 2015, 2(1):33-47.
[23] Akasaka S, Weng Jiahua, Onari H. Product functional structure model for engineer-to-order production:A case study on drilling machines[J]. Journal of Japan Industrial Management Association, 2015, 66(4):443-447.
[24] Brière-Côté A, Rivest L, Desrochers A. Adaptive generic product structure modeling for design reuse in engineer-to-order products[J]. Computers in Industry, 2010, 61(1):53-65.
