Hybrid modelling of MTO/ETO manufacturing environments for performance assessment

Abstract

Performance assessment is critical in today's competitive environments, where companies need to establish trade-offs between key competitive dimensions. The complexity of these environments calls for new approaches to performance assessment. Thus, in this work, we propose a novel conceptual framework for performance assessment in manufacturing environments combining different production strategies. Focus is laid on MTO/ETO combined environments and a threestage problem analysis is considered. Firstly, a hybrid SD-DES-ABS model approach addresses the needs of a system that handles different types of orders, processes and workforce allocation requirements; secondly, the model results for different demand scenarios are assessed using a one-way ANOVA analysis followed by a Tukey-Kramer's test, with pairwise comparisons for assessment of significant performance variations under different system operating policies. A full factorial Design of Experiments (DOE) analysis follows, for determining the relevant process parameters influencing the system performance. As an example of application of the proposed framework, we consider the case of an advanced manufacturing company, whose manufacturing environment encompasses combined MTO/ETO production strategies.

Project management and system dynamics modelling: Time to connect with innovation and sustainability

“…Moreover, the linking of multiple rework cycles can constitute an entire project (Parvan et al, 2015; Stupples, 2002). A hybrid approach using the rework cycle combines the SD model with decision‐making trial and evaluation laboratory (DEMATEL) (Jalal & Shoar, 2017), fuzzy mathematics (Zhong et al, 2018), discrete event simulation (DES) and ABM (Jo et al, 2015; Wu et al, 2019) or hybrid simulation models (Barbosa & Azevedo, 2018; Jalal & Shoar, 2017; Motawa et al, 2007; Nasirzadeh et al, 2019; Zhong et al, 2018); however, these approaches do not take into account the complexity and uncertainty of the project in the long term.…”

“…Innovation in products and/or processes to the dynamic SD models for construction (Park et al, 2004). Sustainability focuses on the TBL in an SD model (Shen et al, 2005) 2010-2019 PM 2.0 is a move from traditional PM to an adaptive and agile PM (Levitt, 2011) SD models combine other approach and techniques (Barbosa & Azevedo, 2018;Jalal & Shoar, 2017;Jo et al, 2015;Nasirzadeh et al, 2019;Wu et al, 2019;Zhong et al, 2018) Cooke- Davies (2007) has linked different success factors with respective MoP hierarchical levels.…”

“…Sterman (2000) placed an emphasis on business, strategy and public policy applications, for instance, models based on capability performance and defects and process problems (Repenning & Sterman, 2001, 2002. Moreover, SD models can be integrated with DES (Alzraiee et al, 2015;Pena-Mora et al, 2008;Sadabadi & Kama, 2014), critical chain project management (CCPM) (Lee & Miller, 2004), dynamic planning and control methodology (DPM) (Bianchi, 2016;Cosenz & Noto, 2015;Herrera et al, 2019), fuzzy logic-based change (Motawa et al, 2007;Nasirzadeh et al, 2019) and ABM (Barbosa & Azevedo, 2018;Jo et al, 2015;Wu et al, 2019). SD models are based on risk element transmission theory (Cunbin et al, 2015), construction safety using system archetypes (Guo et al, 2015) and/or Brook's law adding manpower to the productivity, costs and project duration (Garcia-Alvarez et al, 2016).…”

“…Other modelling approaches have also been employed to understand the dynamics of the projects, such as agent‐based models (ABM) (Jo et al, 2015; Wu et al, 2019) or hybrid simulation models (Barbosa & Azevedo, 2018; Jalal & Shoar, 2017; Motawa et al, 2007; Nasirzadeh et al, 2019; Zhong et al, 2018); however, these approaches differ from each other. Explicitly, SD is focused on breaking the bigger problem into a smaller one—top–down information feedback method (Ding et al, 2018).…”

Intelligent manufacturing templates for CNC machine programming

“…The production of STT is an example of custom-made production -MTO (Make to Order) and ETO (Engineering to Order), in which the design of the device is based on the product model provided by the customer [1]. In many cases, these tools are in the form of groups/families of products, because they must take into account the high variability (variability) of final products.…”