Project scheduling improvement using design structure matrix
- Authors: Gunawan, Indra , Ahsan, Kamrul
- Date: 2010
- Type: Text , Journal article
- Relation: International Journal of Project Organisation and Management Vol. 2, no. 4 (2010 2010), p. 311-327
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- Description: A challenging aspect of managing the development of complex projects is the notion of design iteration or rework. Traditional project management tools such as program evaluation and review technique (PERT), critical path method (CPM), and Gantt chart allow the modelling of sequential and parallel processes in projects, but they fail to address interdependency of feedback and iteration. Design structure matrix (DSM) is a new approach to project management, used to represent, analyse dependencies among tasks and show the order in which tasks are performed. In this paper, a case of the petroleum oil field development project is demonstrated. The project duration of the petroleum oil field development project is reduced significantly by applying the DSM method.
Scheduling dual gripper robotic cells with a hub machine
- Authors: Foumani, Mehdi , Ibrahim, Yousef , Gunawan, Indra
- Date: 2013
- Type: Text , Conference proceedings
- Relation: Industrial Electronics (ISIE), 2013 IEEE International Symposium, Taipei, Taiwan, 28th-31st May 2013 p1-6
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- Description: This paper introduces a new methodology to optimise the cycle time of dual-gripper robotic workcells. The workcell under study is composed of a group of m production machines. In order to produce a completed part, a chain of m-1 secondary operations are performed by m-1 different machines, and a hub machine is alternately visited for m primary operations. Indeed, parts must reenter the hub machine after any one of secondary operations. Those types of robotics workcells are used for high capacity production such as in photolithography manufacturing, These cells are cluster tools for semiconductor manufacturing where a wafer visits a processing stage several times for the atomic layer deposition (ALD) processes. For electroplating lines, these cells are also common in practice where there is a multifunction production stage that is visited by parts over once. This optimisation methodology is limited to the dual-gripper robotic cells, where identical parts are produced and these parts completely follow a similar sequence. The lower bound of cycle time for such dual-gripper robotic cells is obtained by finding the cycle time of all related robot move cycles, and subsequently optimal robot task sequence, which is a two-unit cycle, is determined.
Stochastic scheduling of an automated two-machine robotic cell with in-process inspection system
- Authors: Foumani, Mehdi , Smith-Miles, Kate , Gunawan, Indra , Moeini, Ashgar
- Date: 2015
- Type: Text , Conference proceedings
- Relation: 45th International Conference on Computers and Industrial Engineering, CIE 2015; Universite de Lorraine, LCOMS Metz; France; 28th-30th October 2015. In Proceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineering
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- Description: This study is focused on the domain of a two-machine robotic cell scheduling problem. Particularly, we propose the first analytical method for minimizing the partial cycle time of such a cell with a PC-based automatic inspection system to make the problem more realistic. It is assumed that parts must be inspected in one of the production machines, and this may result in a rework process. The stochastic nature of the rework process prevents us from applying existing deterministic solution methods for the scheduling problem. This study aims to develop an in-line inspection of identical parts using multiple contact/non-contact sensors. Initially, we present a heuristic method that converts a multiple-sensor inspection system into a single-sensor inspection system. Then, the expected sequence times of two different cycles are derived based on a geometric distribution, and finally the maximum expected throughput is pursued for each individual case.
Notes on feasibility and optimality conditions of small-scale multifunction robotic cell scheduling problems with pickup restrictions
- Authors: Foumani, Mehdi , Gunawan, Indra , Smith-Miles, Kate , Ibrahim, Yousef
- Date: 2015
- Type: Text , Journal article
- Relation: IEEE Transactions on Industrial Informatics Vol. 11, no. 3 (2015), p. 821-829
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- Description: Optimization of robotic workcells is a growing concern in automated manufacturing systems. This study develops a methodology to maximize the production rate of a multifunction robot (MFR) operating within a rotationally arranged robotic cell. An MFR is able to perform additional special operations while in transit between transferring parts from adjacent processing stages. Considering the free-pickup scenario, the cycle time formulas are initially developed for small-scale cells where an MFR interacts with either two or three machines. A methodology for finding the optimality regions of all possible permutations is presented. The results are then extended to the no-wait pickup scenario in which all parts must be processed from the input hopper to the output hopper, without any interruption either on or between machines. This analysis enables insightful evaluation of the productivity improvements of MFRs in real-life robotized workcells. ©2014 IEEE.