Determination of critical chain project buffer based on information flow interactions

It has been well accepted in the literature that co-dependency between project activity durations is caused by resource tightness and network complexity. However, we show that information flow interaction between activities is the key factor for it. Based on whether there exist spliced relationships between activities, we introduce the concept of rework safety time. We propose a method to compute the rework safety time using the information output and input time factors, rework probability matrix, and rework impact matrix. We achieve the optimization of the critical chain sequencing via the design structure matrix so that the dependency between activities is reduced. The project buffer is then determined by the tail concentration method based on the optimized chain. The empirical results show that, as opposed to the traditional RSEM method, our approach improves the project buffer consumption rate, shortens project duration, reduces project cost, and increases project on-time completion rate.

[1]  Huang Jian-mei Project time calculation and optimization based on DSM activities overlapping , 2011 .

[2]  Samad Ahmadi,et al.  Guided construction search metaheuristics for the capacitated p-median problem with single source constraint , 2007, J. Oper. Res. Soc..

[3]  Ali A. Yassine,et al.  Simultaneous optimisation of products, processes, and people in development projects , 2013 .

[4]  Willy Herroelen,et al.  On the merits and pitfalls of critical chain scheduling , 2000 .

[5]  Tak Wing Yiu,et al.  Integrated methodology to design and manage work-in-process buffers in repetitive building projects , 2013, J. Oper. Res. Soc..

[6]  Robert C. Ash,et al.  Towards holistic project scheduling using critical chain methodology enhanced with PERT buffering , 2008 .

[7]  Herman Steyn Project management applications of the theory of constraints beyond critical chain scheduling , 2002 .

[8]  Zheng Wang,et al.  Computing Completion Time and Optimal Scheduling of Design Activities in Concurrent Product Development Process , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[9]  Yan Fu,et al.  A Buffer Sizing Approach in Critical Chain Scheduling with Attributes Dependent , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[10]  Kenneth R. Baker,et al.  Modeling activity times by the Parkinson distribution with a lognormal core: Theory and validation , 2012, Eur. J. Oper. Res..

[11]  Junguang Zhang,et al.  Optimisation of critical chain sequencing based on activities’ information flow interactions , 2015 .

[12]  A. Makui,et al.  A new approach for buffer sizing in critical chain scheduling , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

[13]  Maurizio Bevilacqua,et al.  Critical chain and risk analysis applied to high-risk industry maintenance: A case study , 2009 .

[14]  Erry Yulian Triblas Adesta,et al.  Critical chain in project management , 2011 .

[15]  Bo Zhang,et al.  The impact of uncertainty and ambiguity related to iteration and overlapping on schedule of product development projects , 2014 .

[16]  Kleanthis Sirakoulis,et al.  The effectiveness of resource levelling tools for Resource Constraint Project Scheduling Problem , 2009 .

[17]  Yongyi Shou,et al.  Estimation of project buffers in critical chain project management , 2000, Proceedings of the 2000 IEEE International Conference on Management of Innovation and Technology. ICMIT 2000. 'Management in the 21st Century' (Cat. No.00EX457).

[18]  Tyson R. Browning,et al.  Design Structure Matrix Methods and Applications , 2012 .

[19]  A. Engel,et al.  Optimizing VVT strategies: a decomposition approach , 2006, J. Oper. Res. Soc..

[20]  Mohamed Ali Khemakhem,et al.  Efficient robustness measures for the resource-constrained project scheduling problem , 2013 .

[21]  Bo Zhang,et al.  An Overlapping-Based Design Structure Matrix for Measuring Interaction Strength and Clustering Analysis in Product Development Project , 2014, IEEE Transactions on Engineering Management.

[22]  Yacine Rezgui,et al.  A modified fuzzy clustering for documents retrieval: application to document categorization , 2009, J. Oper. Res. Soc..

[23]  G. Sani,et al.  DSM‐5 criteria for depression with mixed features: a farewell to mixed depression , 2014, Acta psychiatrica Scandinavica.

[24]  D. V. Steward,et al.  The design structure system: A method for managing the design of complex systems , 1981, IEEE Transactions on Engineering Management.

[25]  B. Tieben,et al.  The Impact of Uncertainty , 2012 .

[26]  T. Raz,et al.  A Critical Look at Critical Chain Project Management , 2003, IEEE Engineering Management Review.

[27]  Ali A. Yassine,et al.  An optimization-based model for maximizing the benefits of fast-track construction activities , 2013, J. Oper. Res. Soc..

[28]  Junguang Zhang,et al.  Dynamic monitoring and control of software project effort based on an effort buffer , 2015, J. Oper. Res. Soc..

[29]  Eliyahu M. Goldratt,et al.  Critical Chain: A Business Novel , 1997 .

[30]  Mohammad Fallah,et al.  CRITICAL CHAIN PROJECT SCHEDULING: UTILIZING UNCERTAINTY FOR BUFFER SIZING , 2010 .

[31]  Steven D. Eppinger,et al.  A simulation-based process model for managing complex design projects , 2005, IEEE Transactions on Engineering Management.

[32]  Ario Ohsato,et al.  Fuzzy critical chain method for project scheduling under resource constraints and uncertainty , 2008 .

[33]  Robert C. Newbold,et al.  Project Management in the Fast Lane: Applying the Theory of Constraints , 1998 .

[34]  Fariborz Jolai,et al.  A new heuristic for resource-constrained project scheduling in stochastic networks using critical chain concept , 2007, Eur. J. Oper. Res..

[35]  Walter O. Rom,et al.  An investigation of buffer sizing techniques in critical chain scheduling , 2006, Eur. J. Oper. Res..

[36]  Min Huang,et al.  A critical chain project scheduling method based on a differential evolution algorithm , 2014 .

[37]  R Stratton,et al.  CRITICAL CHAIN PROJECT MANAGEMENT THEORY AND PRACTICE , 2009 .

[38]  Stephen L. Cabano,et al.  Project management in the fast lane , 2001 .