Waste analysis of fuselage assembly in panelization group of the 117th NC212i aircraft

Dirgantara Indonesia (PTDI) is the single source producer of the NC212i Aircraft. Almost every Aircraft is delivered to the customer over the deadline date. The existence of waste is believed to be one of causing the late delivery. Based on observations of the 117th NC212i Aircraft assembly line, which is precisely at the fuselage assembly in the paneling group, six wastes are identified: waiting, transportation, overprocessing, inventory, and motion. Waste of overproduction does not occur because PTDI applies MTO (Make to Order) system. These 6 wastes are then processed using Waste Assessment Model (WAM). The ranking result is: first place is 25% for defects, second place is 23% for waiting, third place is 17% for motion, fourth place is 15% for inventory, fifth place is 13% for transportation, sixth place is 8% for overprocessing, and seventh place is 0% for overproduction. Three critical wastes based Pareto principle can be minimized, so the delay of aircraft delivery can be reduced.

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Dynamic sourcing strategies for supply disruptions under consumer stockpiling

Complex & Intelligent Systems ◽

10.1007/s40747-021-00520-9 ◽

2021 ◽

Author(s):

Shanshan Li ◽

Yong He ◽

Li Zhou

Keyword(s):

Order System ◽

Joint Decision ◽

Sourcing Strategies ◽

Make To Order ◽

Sourcing Strategy ◽

Holding Cost ◽

Future Consumption ◽

Inventory Holding ◽

Relative Factors

AbstractThis paper considers a make-to-order system where production gets disrupted due to a random supply failure. To avoid potential stock-out risk and responding price increase during disruption, customers might decide to stockpile extra units for future consumption. We investigate the contingent sourcing strategy for the manufacturer to cope with the disruption. To this end, we first discuss the optimal post-disruption stockpiling decision for customers. In view of expected disruption duration, price rise, and inventory holding cost, three types of stockpiling behavior are analytically provided for the customers: non-stockpiling, gradual stockpiling, and instantaneous stockpiling. Next, a model is formulated to optimize the joint decision of contingent sourcing time and quantity, with the objective of maximizing profit expectation. Finally, by conducting numerical analysis, we generate further insights into the role of relative factors and provide specific managerial suggestions on how to adapt dynamic contingent sourcing strategies to alleviate different disruptions, under different market environments and customer behaviors.

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Decision of Planning Input for Make-to-Order System

Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) ◽

10.1007/978-3-642-33012-4_12 ◽

2012 ◽

pp. 109-115

Author(s):

Bi-xi Zhang ◽

Jing Song ◽

Sheng-qiang Hu ◽

Ying-ying Guan

Keyword(s):

Order System ◽

Make To Order

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Productivity Analysis and Optimization of Aircraft Assembly Line Based on Delmia-Quest

Lecture Notes in Electrical Engineering - The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018) ◽

10.1007/978-981-13-3305-7_91 ◽

2019 ◽

pp. 1150-1159

Author(s):

Heng Zhong ◽

Xiaojun Zhang ◽

Jun Hu ◽

Shuntao Liu ◽

Xinyun Shao

Keyword(s):

Assembly Line ◽

Productivity Analysis ◽

Aircraft Assembly

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A Maturity Model of Strategic Information Systems Planning (SISP)

International Journal of Enterprise Information Systems ◽

10.4018/jeis.2011070102 ◽

2011 ◽

Vol 7 (3) ◽

pp. 30-57 ◽

Cited By ~ 2

Author(s):

Zijad Pita ◽

France Cheong ◽

Brian Corbitt

Keyword(s):

Information Systems ◽

Analytic Network Process ◽

Assessment Model ◽

Order System ◽

Maturity Model ◽

Strategic Information ◽

Strategic Information Systems ◽

Strategic Information Systems Planning ◽

Systems Planning ◽

Information Systems Planning

In this paper Strategic Information Systems Planning (SISP) maturity models are empirically validated in Australian environment. A research instrument used to determine the degree of SISP maturity in Australian organisations is described. While empirical testing of a five-stage SISP model has only confirmed the existence of three levels of SISP maturity, statistical methods confirmed the adequacy of the establishment of the SISP assessment model as a third-order system. The study also opens the way for SISP thinking beyond the conventional approaches by introducing the Analytic Network Process and the Analytic Hierarchy Process methods to reduce complexity of SISP measurement in a natural and structural way. By using these methods, it was possible to obtain a single overall measure of SISP maturity, thus overcoming a problem of result synthesis measured by different scales.

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Aircraft Final Assembly Line Balancing and Workload Smoothing: A Methodological Analysis

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.502.19 ◽

2012 ◽

Vol 502 ◽

pp. 19-24 ◽

Cited By ~ 13

Author(s):

J. Ríos ◽

F. Mas ◽

J.L. Menéndez

Keyword(s):

Assembly Line ◽

Methodological Approach ◽

Conceptual Modeling ◽

Assembly Line Balancing ◽

Precedence Constraints ◽

Line Balancing ◽

Objective Functions ◽

Aircraft Assembly ◽

Final Assembly ◽

Specific Parameter

Assembly Line Balancing (ALB) comprises ordering of tasks among workstations to satisfy precedence constraints and objective functions. Due to the specific features of an aircraft, such approach is not fully suitable for the case of an aircraft Final Assembly Line (FAL). Where, the number of workstations relates to technological criteria rather than to a calculation aiming to minimize a specific parameter. Workload smoothing is addressed once the FAL configuration is defined. To improve current practices, a methodological approach was taken to address the conceptual modeling of an aircraft assembly line.

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Performance analysis of a decoupling stock in a Make-to-Order system

IFAC Proceedings Volumes ◽

10.3182/20120523-3-ro-2023.00177 ◽

2012 ◽

Vol 45 (6) ◽

pp. 1493-1498 ◽

Cited By ~ 1

Author(s):

E. De Cuypere ◽

K. De Turck ◽

D. Fiems

Keyword(s):

Performance Analysis ◽

Order System ◽

Make To Order

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Study on Aircraft Assembly Line Balancing Problem Based on Mobile Workers

Volume 4: 21st Design for Manufacturing and the Life Cycle Conference; 10th International Conference on Micro- and Nanosystems ◽

10.1115/detc2016-60022 ◽

2016 ◽

Author(s):

Jie Zhang ◽

Bo Xin ◽

Pan Wang

Keyword(s):

Assembly Line ◽

Particle Swarm ◽

Assembly Line Balancing ◽

Line Balancing ◽

Stability And Convergence ◽

Particle Swarm Algorithm ◽

Binary Particle Swarm Optimization ◽

Assembly Lines ◽

Aircraft Assembly ◽

Assembly Line Balancing Problem

In order to improve the balance and load equilibrium of aircraft assembly lines, and to enhance the management of on-site resources, a Type-E balancing method was proposed based on the mobile operation of assembly personnel in the aircraft assembly line. This method was aimed to minimize the smoothness index of the overall assembly line and each assembly station, and also to minimize manpower costs. First, a model of personnel flow and an assembly line balancing model were constructed based on the characteristics of aircraft assembly lines. Next, an Accelerated Binary Particle Swarm Optimization (ABPSO) based on improved sig function was designed in order to improve the original stability and convergence of the standard binary particle swarm algorithm. Finally, the validity of the method was verified with a real fuselage assembly line and the results show the effectiveness.

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