Modeling Design Iteration Using DSM and Simulation

Maheswari, J. Uma; Varghese, Koshy

doi:10.22260/isarc2007/0073

Cited by 7 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…the number of hours to perform the same cycle and the chances to error reduces. It is further assumed that execution sequence follows fast strategy model, which means an entity in a sequence can start executing if it gets information from any of the predecessor entity (Maheswari and Varghese, 2007). Once the durations of all low-level entity types are estimated, those values can be superimposed on original BDMs as seen in Figure 3.…”

Section: Estimating Multiple Entity Typesmentioning

confidence: 99%

BDM–MDM integrated solution concept for scheduling information-driven projects

Maheswari

Mujumdar

Padala

et al. 2021

ECAM

Self Cite

View full text Add to dashboard Cite

PurposeScheduling in information-driven design phase of construction projects is challenging due to multiple entity types (teams, components, deliverables, activities or parameters) and their dependencies/linkages. Established techniques such as dependency structure matrix (DSM), beeline diagramming method (BDM), multiple domain matrix (MDM), etc. have been independently utilized in past to model information dependencies/linkages and associated iteration. However, there has not been a holistic solution yet for scheduling multiple entity types and their relationships. Hence, an integrated solution needs to be developed that schedules information-driven projects accurately.Design/methodology/approachA case study data collection approach is utilized. With data from two projects, i.e. hostel design and highway design, a BDM–MDM integrated solution was developed and applied to the same. Feedback from experts was obtained for refinements.FindingsThe proposed solution is efficient for scheduling multiple entity types and their information dependencies/linkages.Practical implicationsThe proposed integrated solution enables the project participants to schedule information-driven projects systematically. Application to two distinct design cases emphasizes that the concept is generic and can be applied to any information-driven project with multiple entity types.Originality/valueThe BDM–MDM integrated solution concept is investigated for scheduling multiple entity types in any information-driven projects. This study also explored the terminologies such as multiple entity types and information-driven scheduling.

show abstract

Section: Estimating Multiple Entity Typesmentioning

confidence: 99%

BDM–MDM integrated solution concept for scheduling information-driven projects

Maheswari

Mujumdar

Padala

et al. 2021

ECAM

Self Cite

View full text Add to dashboard Cite

show abstract

“…This basic sequence and the execution sequence correspond to interdependency and iteration, respectively. Rework, repetition or revisions can also result if these information exchanges are planned improperly (Maheswari and Varghese, 2007).…”

Section: Introductionmentioning

confidence: 99%

Alternate beeline diagramming method network analysis for interdependent design entities

Mujumdar

Maheswari

2019

ECAM

Self Cite

View full text Add to dashboard Cite

Purpose The design phase is generally characterized with two-way multiple information exchanges/overlaps between the interdependent entities. In this paper, entity is a generic term to represent teams, components, activities or parameters. Existing approaches can either capture a single overlap or lack practical application in representing multiple overlaps. The beeline diagraming method (BDM) network is efficient in representing multiple overlaps for construction projects. However, it considers any entity as indivisible and cannot distinguish partial criticality of entities. In reality, the design phase in any construction project is driven by need basis and often has numerous interruptions. Hence, there is a need to develop an alternate network analysis for BDM for interruptible execution. The paper aims to discuss these issues. Design/methodology/approach A pilot study is conducted to formulate the hypothetical examples. Subsequently, these hypothetical BDM examples are analyzed to trace a pattern for criticality. This pattern study along with the existing precedence diagramming method network analysis enabled to derive new equations for forward pass, backward pass and float. Finally, the proposed concepts are applied to two design cases and reviewed with the design experts. Findings The proposed network analysis for BDM is efficient for interruptible entity execution. Practical implications The proposed BDM network is an information-intensive network that enables the design participants to view the project holistically. Application to two distinct cases emphasizes that the concept is generic and can be applied to any project that is characterized with beelines. Originality/value An alternate network analysis for BDM is investigated for interruptible entity execution. This study also clarifies the related concepts – interdependency, iteration, overlaps and multiple information exchanges/linkages.

show abstract

“…Though Maheswari and Varghese (2005) compressed project schedule with overlapping, they ignored the impact of redesign while utilizing preliminary information. In practice, it is common to utilize early information from precedent activities in order to significantly shorten project duration (Krishnan et al 1997 andVarghese 2007). This introduces the possibility of redesign for succeeding activities if the estimated (early) parameters are found to deviate substantially from the subsequent confirmed parameters.…”

Section: Introductionmentioning

confidence: 99%

“…However, their models are applicable for a pair of sequential activities but are cumbersome to model the interaction of multiple activities and incorporation of early information and redesign. Maheswari and Varghese (2007) have modeled design iteration for activities involved in a loop. But, they did not quantify the impact on project duration as a result of redesign.…”

Section: Introductionmentioning

confidence: 99%