David Marton

Complexity Metrics for Assembly Supply Chains: A Comparative Study

In this paper, we study the complexity metrics for systematically generated assembly supply chains structures. We define three structural complexity indicators, such as the index of vertex degree, the supply chain length and the flow complexity. By a comparative study of 190 mathematically selected supply chain networks, we obtained Spearman correlation coefficients among three defined metrics and find some interesting results.

Configuration complexity assessment of convergent supply chain systems

System designers usually generate alternative configurations of supply chains (SCs) by varying especially fixed assets to satisfy a desired production scope and rate. Such alternatives often vary in associated costs and other facets including degrees of complexity. Hence, a measure of configuration complexity can be a tool for comparison and decision-making. This paper presents three approaches to assessment of configuration complexity and their applications to designing convergent SC systems. Presented approaches are conceptually distinct ways of measuring structural complexity parameters based on different preconditions and circumstances of assembly systems which are typical representatives of convergent SCs. There are applied two similar approaches based on different preconditions that are related to demand shares. Third approach does not consider any special condition relating to character of final product demand. Subsequently, we propose a framework for modeling of assembly SC models, which are dividing to classes.

Development of Metrics and a Complexity Scale for the Topology of Assembly Supply Chains

In this paper, we present a methodological framework for conceptual modeling of assembly supply chain (ASC) networks. Models of such ASC networks are divided into classes on the basis of the numbers of initial suppliers. We provide a brief overview of select literature on the topic of structural complexity in assembly systems. Subsequently, the so called Vertex degree index for measuring a structural complexity of ASC networks is applied. This measure, which is based on the Shannon entropy, is well suited for the given purpose. Finally, we outline a generic model of quantitative complexity scale for ASC Networks.

The Impact of Customized Variety on Configuration Complexity of Assembly Process

Mass customization provides products with high variety on demand, at a cost not significantly greater than mass production. Problem at this point is that these product variants lead to process/resource variants what has a negative impact on complexity of manufacturing complexity of such products. In this paper, we present a methodological framework for creating all possible product variants based on unlimited number of optional components while assuming with at least two constant initial components. Development of all possible product architectures is further applied for investigation the impact of product variety decisions on structural complexity of assembly processes. According to the assembly process variants created a specific complexity measure can then be assigned.

Application of RFID Technology in Public Transport Company

Our aim is to deal with the application of RFID technology in real conditions. Increasing interest in Radio Frequency Identification and related numerous applications for increasing automation in information systems has become an area of interest public transportation applications. The reason for the application of RFID technology is tracking entrance/exit of vehicles to or from the parking area. The main expected benefits arising out of the introduction of this system is considered to maximize efficiency in payments to external carriers parking operator for services related to the use of the bus park for a period of time.

Optimizing Assembly Production Structures Based on Complexity Criterion

In this paper, we firstly present a classification framework of assembly systems. Then, models of such assembly systems structures are divided into classes on the basis of the numbers of initial components to be assembled. Subsequently, selected scenarios for measuring a structural complexity of assembly systems structures based on demand are employed. Finally, a relationship between complexity and usability is analyzed and future research is recommended.

Design Optimization of the Assembly Process Structure Based on Complexity Criterion

This paper focuses on configuration design optimization of the assembly supply chain network. It is intended to use this approach to select an optimal assembly process structure in early stages of manufacturing/assembly process design. For the purpose of optimization, structural complexity measures as optimality criteria are considered. In order to compare alternatives in terms of their complexity, a method for creating comparable process structures is outlined. Subsequently, relevant comparable process structures are assessed to determine their structural complexity.