Reinventing Lean: An Optimized and Adaptive Approach to Construction Efficiency by IRJET Journal

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 12 Issue: 05 | May 2025

p-ISSN: 2395-0072

www.irjet.net

Reinventing Lean: An Optimized and Adaptive Approach to Construction Efficiency Mrinmoyee Bhattacharya1 1Assistant Professor, Department of Computer Science, St. Xavier’s University, Kolkata,

Kolkata, 700160, West Bengal, India, mrinmoyee.bhattacharya@sxuk.edu.in ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - Optimization is important for any kind of process which can only be accomplished following a structured approach. A lean approach guides towards the maximization of payback as well as minimization of the misuse. A lean construction management emphasizes on monitoring and continuous quality improvement for the best possible output. In our study, we have identified the key components for the lean construction management to examine how these could be used to achieve optimized output.

Function Range

Description

Condition

Reference for the value

0 ≥ f(X1)

A: Delivery planning and Project Flow

F(B,C,D)=F( A)

[1]

B:Collaboration/Relat F(A) > 0 or ionship Management f(X1) > 0

[2]

≤ 0.1 0 ≥ f(X3)

C: Value Management

F(A) > 0 or f(X1) > 0

[3]

D: Removal of Waste

F(A) > 0 or f(X1) > 0

[4]

≤ 0.4 0 ≥ f(X2)

Key Words: Lean, Optimization, Management, Construction, Output

≤ 0.2

1. INTRODUCTION

≤ 0.30

Lean Construction is an immediate measureable output based production system. In this process, there are number of key areas which may include but not limited to certain activities or functions like: (A) Appropriate approach for Project Delivery on Schedule and Process Flow (B) Collaboration/Relationship Management with respects (C) Generation and Preservation of the Values (D) Removal of Waste and Disposing the same maintaining the categories during the Project Life Cycle.

Relationship Model: Entity (B),(C) and (D) is fully dependant on entity (A) that means if f(X1) > 0 then only the other entities (B),(C) and (D) to be considered. That mathematically means,

Lets us take Lean Construction Management Indicator (LCMI) as Y where Y=f(x), then we can write f(x) =f(X1) + f(X2) + f(X3) + f(X4) presuming X1,X2,X3 and X4 as some variables which can be presented as :

2. Literature Review

0 ≥ f(X4)

(1) f(X2), f(X3) and F(X4) can have a finite value 0 or more if f(X1) > 0 (2) f(X2) = 0, f(X3) = 0 and F(X4)=0 when f(X1)=0

The construction industry faces constant pressure to improve project efficiency, reduce waste, and increase profitability. Various studies and reports highlight key factors influencing these outcomes, including planning strategies, value management, and lean practices. Research by [1] emphasizes the significance of effective project planning in enhancing contractor profitability. The study identifies that meticulous planning contributes to better resource allocation, time management, and cost control, ultimately leading to improved financial performance. Similarly, a report available on [2] investigates construction project performance in terms of risk, schedule, and quality. It underlines that planning alone is not sufficient; integrated project delivery and proactive stakeholder involvement are crucial to maintaining project success throughout its lifecycle. The application of value management is another critical element discussed in the literature. According [3], value management is a structured approach that ensures client requirements are met without unnecessary cost escalation. The technique is particularly effective in

In this relationship model, function f(X2) to .. f(X4) all are dependent on f(X1) that means if approach to the project delivery and its flow is not defined, no matter whatsoever we do, any good output and/or optimization cannot be achieved. In calculus, range represents set of all possible values of a function, the set of input values are the domain of a function. Let us define the ranges with respect to the secondary sources:

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