Transparency increase in global production networks based on multi-method simulation and metamodeling techniques

Lanza, Gisela; Treber, Stefan

doi:10.1016/j.cirp.2019.03.011

Cited by 12 publications

(2 citation statements)

References 13 publications

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“…Additional Production network upgrades insights concerning the performance aspects of network optimization are provided by the simulation literature. For instance, Lanza and Treber (2019) suggest that greater interlinkage between the nodes in a network would drive network performance. However, extending production networks requires large investments and increases management and coordination costs.…”

Section: Production Network and Profitabilitymentioning

confidence: 99%

When should global manufacturers invest in production network upgrades? An empirical investigation

Flaeschner

Wenking

Netland

et al. 2020

IJOPM

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PurposeIn this paper, the authors empirically investigate under which conditions production network management is effective to improve manufacturers' financial performance. For this, the authors explore contingencies between production networks and the three key dimensions of organizational environment.Design/methodology/approachA survey with senior managers was conducted for this research. The authors used a hierarchical regression analysis to test interaction effects and draw on follow-up interviews with chief operating officers (COOs) and senior managers to elaborate and explain the found associations.FindingsResults indicate that manufacturers' financial performance is only associated with their network capability level if they operate in hostile competitive environments. In moderate competitive environments, improvements in the network capability level are not associated with greater financial performance. In particularly munificent environments, such production network upgrades are even associated with the opposite effect.Practical implicationsResults highlight in which organizational contexts upgrading production networks has positive performance implications and under which circumstances it is ineffective or even counterproductive.Originality/valueThe authors draw on unique survey data to add quantitative evidence to the predominantly conceptual and qualitative literature on global production networks. This is also one of the first studies to connect the topics of production networks and organizational environment.

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Section: Production Network and Profitabilitymentioning

confidence: 99%

When should global manufacturers invest in production network upgrades? An empirical investigation

Flaeschner

Wenking

Netland

et al. 2020

IJOPM

View full text Add to dashboard Cite

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“…according to the quantity produced. The diversification of products in a production line makes it complex to increase the output speed, reduce production costs and satisfy customer requirements by meeting deadlines [1,2].…”

Section: Introductionmentioning

confidence: 99%

Lead Time Dynamics

Cabezas¹

2022

Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research A

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The general purpose of this research is to show that the loading period in the processing of a product in the production line is the key factor for customer satisfaction in terms of quality and shorter lead time. Customers are increasingly requesting varied products, with varied models and shorter lead time. The decision maker takes this demand into consideration by controlling only the loading and download periods of the line and considers that the loading time is minimal and is not a limiting factor for delivering the order in the scheduled time. The objective through the development of causal and flow scenario models is to demonstrate that this time does influence the delivery of orders to customers. For this purpose, the variables and constants and the cause-effect relationships for the optimization of the loading period are identified. This research was developed experimentally, identifying and providing concepts of variables such as: demand, product, production line, operational sequence, standard time, setup, lead time, system dynamics, causal diagram, flowchart and its formulation. The results obtained through simulations with production units of 40, 20 and less than 5 units with variable times allow to decrease production lead times by 8.3% and 7.3%, respectively.. Keywords--production line, causal diagram, flow chart, variables and lead time.

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