Sequencing the Mixed Model Assembly Line with Multiple Stations to Minimize the Total Utility Work and Idle Time

Yearnmin Kim,Won-Joon Choi 대한산업공학회 2016 Industrial Engineeering & Management Systems Vol.15 No.1

This paper presents a fast sequencing algorithm for a mixed model assembly line with multiple workstations which minimize the total utility work and idle time. We compare the proposed algorithms with another heuristic, the Tsaibased heuristic, for a sequencing problem that minimizes the total utility works. Numerical experiments are used to evaluate the performance and effectiveness of the proposed algorithm. The Tsai-based heuristic performs best in terms of utility work, but the fast sequencing algorithm performs well for both utility work and idle time. However, the computational complexity of the fast sequencing algorithm is O (KN) while the Tsai-based algorithm is O (KNlogN). Actual computational time of the fast sequencing heuristic is 2-6 times faster than that of the Tsai-based heuristic.

The Co-Evolution of Knowledge-based Resource Capability and Transaction Cost

Yearnmin Kim 대한산업공학회 2012 대한산업공학회 춘계학술대회논문집 Vol.2012 No.5

A systematic understanding of industry dynamics is critical to strategy research because individual firm performance dynamics both reflect and affect change at the industry level. However, there are few explicit studies about the industry dynamics of knowledge based resource capability and transaction cost. Knowledge based resource capability and transaction cost theory assume competitive markets and do not address the industry life cycle. It therefore implies that knowledge acquiring and transaction-cost economizing are a superior firm strategy regardless of the stage of the life cycle. This paper seeks to reconcile these two streams of research by investigating whether knowledge and transactions have a differential effect in industry life cycle. This paper proposes that knowledge and transaction are fundamentally intertwined in the determination of industry dynamics, and identifies the key mechanisms of their co-evolution. There can be four settings of firms from a different knowledge and transaction cost positions; ‘developing entrants’, ‘cost explorer’, ‘knowledge exploiter’ and ‘developed incumbents’. A demand based view of industry dynamics that is focused on the interaction between knowledge and transaction development and the internal customers demand environment is applied to these four settings. We develop a formal computer simulation model that explicitly considers the influence of heterogeneity in the internal customers demand on firm’s knowledge and transaction choices. The analysis reveals that ‘developing entrant’, ‘cost explorer’, ‘knowledge exploiter’ and ‘developed incumbent’ show different patterns of industry life cycle. The analysis shows that ‘developing entrant’ and ‘cost explorer’ seeks both cost and knowledge improvement until attribute equalization stage, however that ‘developed incumbent’ and ‘knowledge exploiter’ seek transaction cost minimization for the time being firstly. However the patterns are much the same between ‘developing entrant’ and ‘cost explorer’, and between ‘developed incumbent’ and ‘knowledge exploiter’, the rate and duration of change are different in each other.

The Co-Evolution of Knowledge-based Resource Capability and Transaction Cost

Yearnmin Kim 한국경영과학회 2012 한국경영과학회 학술대회논문집 Vol.2012 No.5

A systematic understanding of industry dynamics is critical to strategy research because individual firm performance dynamics both reflect and affect change at the industry level. However, there are few explicit studies about the industry dynamics of knowledge based resource capability and transaction cost. Knowledge based resource capability and transaction cost theory assume competitive markets and do not address the industry life cycle. It therefore implies that knowledge acquiring and transaction-cost economizing are a superior firm strategy regardless of the stage of the life cycle. This paper seeks to reconcile these two streams of research by investigating whether knowledge and transactions have a differential effect in industry life cycle. This paper proposes that knowledge and transaction are fundamentally intertwined in the determination of industry dynamics, and identifies the key mechanisms of their co-evolution. There can be four settings of firms from a different knowledge and transaction cost positions; ‘developing entrants’, ‘cost explorer’, ‘knowledge exploiter’ and ‘developed incumbents’. A demand based view of industry dynamics that is focused on the interaction between knowledge and transaction development and the internal customers demand environment is applied to these four settings. We develop a formal computer simulation model that explicitly considers the influence of heterogeneity in the internal customers demand on firm’s knowledge and transaction choices. The analysis reveals that ‘developing entrant’, ‘cost explorer’, ‘knowledge exploiter’ and ‘developed incumbent’ show different patterns of industry life cycle. The analysis shows that ‘developing entrant’ and ‘cost explorer’ seeks both cost and knowledge improvement until attribute equalization stage, however that ‘developed incumbent’ and ‘knowledge exploiter’ seek transaction cost minimization for the time being firstly. However the patterns are much the same between ‘developing entrant’ and ‘cost explorer’, and between ‘developed incumbent’ and ‘knowledge exploiter’, the rate and duration of change are different in each other.

Sequencing the Mixed Model Assembly Line with Multiple Stations to Minimize the Total Utility Work and Idle Time

Kim, Yearnmin,Choi, Won-Joon Korean Institute of Industrial Engineers 2016 Industrial Engineeering & Management Systems Vol.15 No.1

This paper presents a fast sequencing algorithm for a mixed model assembly line with multiple workstations which minimize the total utility work and idle time. We compare the proposed algorithms with another heuristic, the Tsai-based heuristic, for a sequencing problem that minimizes the total utility works. Numerical experiments are used to evaluate the performance and effectiveness of the proposed algorithm. The Tsai-based heuristic performs best in terms of utility work, but the fast sequencing algorithm performs well for both utility work and idle time. However, the computational complexity of the fast sequencing algorithm is O (KN) while the Tsai-based algorithm is O (KNlogN). Actual computational time of the fast sequencing heuristic is 2-6 times faster than that of the Tsai-based heuristic.

Modularity and Technology Evolution

Yearnmin Kim,Juliana Husan 한국경영과학회 2012 한국경영과학회 학술대회논문집 Vol.2012 No.5

The challenge of understanding the dynamics of technology has long been a central issue of the management field. However, there are few explicit studies about the technology evolution of the modular product. Also, we apply a demand based view of technology evolution that is focused on the interaction between technology development and the demand environment in which both modular and integral technologies are ultimately compared. We develop a formal computer simulation model that explicitly considers the influence of heterogeneity in market demand on firms’ innovation choices following the Adner and Levinthal’s (2001) study. The model is used to examine the dynamics of product and process innovation of modular and integral product. The analysis reveals that modular and integral product show different pattern of product life cycle. Also, demand heterogeneity explains technology life cycle of both products well. Further, the model suggests a rationale for a new stage in the technology life cycle characterized by increasing performance at a stable price in both products. The analysis shows that modular product offers cost minimization, however integral product offers high performance (Baldwin, C. Y. 2010). Cost is reduced rapidly, but performance improvement grows slowly until the demand maturity in modular product, whereas, the contrary is revealed to the integral product. Further analysis reveals that performance/price ratio of modular product is superior to that of integral product after the attribute equalization stage.

Modularity and Technology Evolution

Yearnmin Kim,Juliana Husan 대한산업공학회 2012 대한산업공학회 춘계학술대회논문집 Vol.2012 No.5

The challenge of understanding the dynamics of technology has long been a central issue of the management field. However, there are few explicit studies about the technology evolution of the modular product. Also, we apply a demand based view of technology evolution that is focused on the interaction between technology development and the demand environment in which both modular and integral technologies are ultimately compared. We develop a formal computer simulation model that explicitly considers the influence of heterogeneity in market demand on firms’ innovation choices following the Adner and Levinthal’s (2001) study. The model is used to examine the dynamics of product and process innovation of modular and integral product. The analysis reveals that modular and integral product show different pattern of product life cycle. Also, demand heterogeneity explains technology life cycle of both products well. Further, the model suggests a rationale for a new stage in the technology life cycle characterized by increasing performance at a stable price in both products. The analysis shows that modular product offers cost minimization, however integral product offers high performance (Baldwin, C. Y. 2010). Cost is reduced rapidly, but performance improvement grows slowly until the demand maturity in modular product, whereas, the contrary is revealed to the integral product. Further analysis reveals that performance/price ratio of modular product is superior to that of integral product after the attribute equalization stage.

조선 성과 측정을 위한 다차원 생산성의 분석

김연민(Yearnmin Kim) 한국경영과학회 2017 經營 科學 Vol.34 No.2

The purpose of this study is to analyze the multidimensional productivity of the shipbuilding performance and to explain the role of different factors, such as man-hour, dock period, number of building block, launching process rate, automatic welding percent, and drawing fault rate which are important production-related variables in most shipbuilding companies. The shipbuilding productivity is obtained using Data Envelopment Analysis (DEA) approach. Then, a Tobit model is considered to measure the influence of different factors on the measured productivity. The results reveal that this productivity measure can substitute a representative shipbuilding productivity index (CGT/man-hour) in shipbuilding industries. Also, this multidimensional productivity analysis using DEA and Tobit reveals complex relationships between production-related variables and CGT and sale.

고정 위치 생산과 흐름생산의 비교 분석 : 데크하우스 선행의장 공정의 사례

김연민,Kim, Yearnmin 한국시뮬레이션학회 2016 한국시뮬레이션학회 논문지 Vol.25 No.2

고정위치 생산 방식과 이를 개선한 흐름 생산 방식의 생산성을 비교하기 위해 데크하우스 선행의장 공정의 사례를 이용하여 이를 비교 분석하였다. 현재의 선행의장 공정 시스템은 고정위치 생산을 하고 있으며, 여기서는 블록이 한 구역을 점유하고, 작업이 완료 될 때까지 이동하지 않는다. 반면 개선된 흐름생산시스템에서는 블록이 이동하며 작업자와 장비는 움직이지 않는다. 시뮬레이션 결과 제안된 생산시스템에서 블록의 이동시간과 대기시간을 고려하지 않았을 때는 블록의 생산량이 거의 증가하지 않았다. 그러나 흐름생산에서는 작업을 위한 장비와 작업자의 이동과 대기시간이 거의 없어, 작업장의 작업시간의 변동성을 줄일 수 있다면 흐름생산이 고정위치 생산 시스템을 대체하는 보다 더 우수한 대안이 될 수 있음을 보였다. By using simulation, fixed location production method and flow production method have been compared to improve the productivity of deckhouse preceding outfitting process. In this paper, we analyze that the suggested flow production system instead of fixed location production can improve productivity. In current preceding outfit production system which adopts fixed location production, where a block occupies an area and does not move until the work finishes. On the other hand, in improved flow production system, the block moves instead of workers and equipment. Though the output of two systems are almost the same when we did not consider the moving time and waiting time of blocks, the flow production will be better when the variability of task time will be reduced.

작업자의 인지를 고려한 공정 설계에 대한 실증 연구

김연민,Kim, Yearnmin 대한산업공학회 2016 대한산업공학회지 Vol.42 No.2

This study suggests a process design using cognitive processes. Job characteristic model for job design and recent cognitive engineering studies for process design are reviewed briefly. By using these concepts, the lean production system is re-interpreted in terms of cognitive engineering and the latent dimensions of the lean production system are revealed as the application of cognitive engineering principles. An integrated process design framework for cognitive manufacturing system using job characteristic model is suggested for the effective design of manufacturing system. Propositions for empirical analysis of this model are also analyzed through a questionnaire survey. Propositions are (1) experiential cognition and motivation potential affect the ability, role perception, and need for achievement of the operator in the manufacturing system, (2) the ability, role perception, and need for achievement of the operator affect the job performance. Both propositions are supported by correlation analysis and path analysis.

Product Architecture Modularity and Supply Chain Relationship

Juliana Hsuan,Yearnmin Kim 한국경영과학회 2012 한국경영과학회 학술대회논문집 Vol.2012 No.5

In this paper, a framework called Platform Portfolio Matrix (PPM) is introduced to explain the relationship of product architecture modularity with the supply chain. Using PPM, we investigated the product architecture modularity for supply chain relationship in a particular ship, FPSO (Floating Production, Storage and Offloading). Based on this enquiry and two streams of research - arm’s length/black box or partnerships/co-development, propositions about the dynamic positioning of product architecture modularity and supply chain relationship are suggested for further research development. In this paper, we show the connection between the coordination requirements of a supplier’s relationships in terms of product architecture modularity and show the trajectories of the relationships create.