Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators

Modrák, Vladimír; Šoltysová, Zuzana

doi:10.1155/2017/9102824

Cited by 26 publications

(13 citation statements)

References 41 publications

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“…To formally define the complexity of modular ASCs, we adopt the following definition proposed by [32] as a base frame: "Complexity of a network-based system is a function of i) the complexities of individual components, ii) the complexities of pair-wise interactions, and iii) the effects of the system's architectural pattern, which makes the management of the system mentally difficult and error-prone". Following the definition given above, the complexity of an ASC (C) is defined as a combination of the inherent complexity of system entities [17] 2002 Vachon and Klassen [13] 2002 Blecker et al [24] 2005 Hoole [25] 2005 Sivadasan et al [26] 2006 Hu et al [2] 2008 Bozarth et al [10] 2009 Sivadasan et al [18] 2006 Isik [27] 2010 Wang and Cheng [28] 2010 Isik [6] 2011 Wang et al [29] 2012 Cheng et al [30] 2014 Bode and Wagner [9] 2015 Modrak and Soltysova [22] 2017 Hamta et al [31] 2018…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

2021

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Complexity has been argued to limit operational efficiency, hinder decision-making and induce disruption in supply chain networks. The main aim of this paper is to investigate the architectural trade-off between complexity and modularity in modular assembly supply chain networks. Towards this, an information-entropic complexity model is developed and applied to the domain of assembly supply chains and logistics. This approach characterises complexity as a combination of the intrinsic complexity of the system modules/interfaces and the influence of the topological composition of the network. The model is then used within an optimisation framework, where the optimal granularity level for assembly supply chain design solutions for a given assembly product can be automatically verified by considering the trade-off between complexity and network modularity. It is concluded that the proposed methodology could help to minimise the complexity of supply chain assembly configurations while maximising their modularity and thereby help to increase both the reliability and performance of supply chain networks.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

2021

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“…Not only design but also control strategies can be represented as NP-hard optimization problems, where simulation methods can also be used to find optimal solutions [24]. Complex network topology metrics is popular to analyze social networks, like Facebook, Twitter, or ResearchGate, but there are new novel complexity indicators, like line balancing rate and number of intercell and intracell flows to describe manufacturing layouts [25]. The complexity can be influenced by many factors, but in today's economy, one of the most important influencing factors is the price competition, which influences the pricing strategy.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Scheduling: An Integrated First Mile and Last Mile Supply Approach

2018

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Supply chain management applies more and more Industry 4.0 innovations to increase their availability, elasticity, sustainability, and efficiency. In interconnected logistics networks, operations are integrated from suppliers through 3rd party logistics providers to customers. There are different delivery models depending on the time and cost. In the last few years, a wide range of customers is willing to pay an extra fee for the same delivery or instant delivery. This fact led to the increased importance of the optimized design and control of first mile/last mile (FMLM) delivery solutions. Cyberphysical system-based service innovations make it possible to enhance the productivity of FMLM delivery in the big data environment. The design and operation problems can be described as NP-hard optimization problems. These problems can be solved using sophisticated models and methods based on heuristic and metaheuristic algorithms. This research proposes an integrated supply model of FMLM delivery. After a careful literature review, this paper introduces a mathematical model to formulate the problem of realtime smart scheduling of FMLM delivery. The integrated model includes the assignment of first mile and last mile delivery tasks to the available resources and the optimization of operations costs, while constraints like capacity, time window, and availability are taken into consideration. Next, a black hole optimization-(BHO-) based algorithm dealing with a multiobjective supply chain model is presented. The sensitivity of the enhanced algorithm is tested with benchmark functions. Numerical results with different datasets demonstrate the efficiency of the proposed model and validate the usage of Industry 4.0 inventions in FMLM delivery.

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“…Abad et al [19] focused on the linkage of input/output relationship and assessed a divergence between what is demanded and what is produced by the quality rate of product. Modrak and Soltysova [20] stressed on the layout complexity and took into account the probability of parts being processed on individual machine according to scheduling order.…”

Section: Introductionmentioning

confidence: 99%

Linking Emergence to the Complex Product System

Wang

Binxiu

et al. 2020

IEEE Access

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The increasing complexity of product calls for manufacturing integration, while in turn high integration brings the problems of system level complexity. This paper proposes that complex product system (CoPS) should be managed as a dynamical system. The dynamical characteristics of CoPS are discussed from the perspective of emergence. A conceptual model is established to analyze the cause, process and result of the CoPS emergence. The mechanism of inner state emergence in CoPS is interpreted by formal languages to provide a point view of state space. It is concluded that the behavior of CoPS, especially the complexity, exhibits the 'entity is greater than the sum of the parts' phenomena when satisfying given necessary conditions. A novel methodology is then established to evaluate this emergence-based complexity. The feasibility and application of the novel complexity measurement is verified by an example of turbine housing production process. Further discussions are made on how to manage the potential emerging complexity based on the proposed measurement.

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Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators

Cited by 26 publications

References 41 publications

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

Smart Scheduling: An Integrated First Mile and Last Mile Supply Approach

Linking Emergence to the Complex Product System

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