Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study

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Abstract

The “lean” approach has been applied more frequently in discrete manufacturing than in the continuous/process sector, mainly because of several perceived barriers in the latter environment that have caused managers to be reluctant to make the required commitment. We describe a case where lean principles were adapted for the process sector for application at a large integrated steel mill. Value stream mapping was the main tool used to identify the opportunities for various lean techniques. We also describe a simulation model that was developed to contrast the “before” and “after” scenarios in detail, in order to illustrate to managers potential benefits such as reduced production lead-time and lower work-in-process inventory.

Introduction

Lean manufacturing is one of the initiatives that many major businesses in the United States have been trying to adopt in order to remain competitive in an increasingly global market. The focus of the approach is on cost reduction by eliminating non-value added activities. Originating from the Toyota Production System, many of the tools and techniques of lean manufacturing (e.g., just-in-time (JIT), cellular manufacturing, total productive maintenance, single-minute exchange of dies, production smoothing) have been widely used in discrete manufacturing. Applications have spanned many sectors including automotive, electronics, white goods, and consumer products manufacturing.

On the other hand, applications of lean manufacturing in the continuous process sector have been far fewer (Abdullah and Rajgopal, 2003). It has sometimes been argued that in part, this is because such industries are inherently more efficient and have a relatively less urgent need for major improvement activities. Managers have also been hesitant to adopt lean manufacturing tools and techniques to the continuous sector because of other characteristics that are typical in this sector. These include large, inflexible machines, long setup times, and the general difficulty in producing in small batches.

While some lean manufacturing tools might indeed be difficult to adapt to the continuous sector, this does not mean that the approach is completely inapplicable; for example, Ahmad et al. (2005), Melton (2005), Radnor (2000), Cook and Rogowski (1996), and Billesbach (1994). Abdullah et al. (2002) and Abdelmalek et al. (2006) examine aspects of continuous production that are amenable to lean techniques and present a classification scheme to guide lean implementation in this sector. The objective of this paper is to use a case-based approach to demonstrate how lean manufacturing tools when used appropriately, can help the process industry eliminate waste, maintain better inventory control, improve product quality, and obtain better overall financial and operational control. A large integrated steel mill is used to illustrate the approach followed. Since some of the information is confidential, the company is referred to as AB steel (or ABS) throughout this paper. In our approach, value stream mapping (VSM) is first used to map the current operating state for ABS. This map is used to identify sources of waste and to identify lean tools for reducing the waste. A future state map is then developed for the system with lean tools applied to it. Since the implementation of the recommendations is likely to be both expensive and time-consuming, we develop a simulation model for the managers at ABS in order to quantify the benefits gained from using lean tools and techniques.

Section snippets

Background

We begin by providing a brief overview of the principles used in this work, followed by some background information on the company where the work was conducted.

VSM: current state map

All data for the current state map were collected according to the approach recommended by Rother and Shook (1999). Data collection for the material flow started at the shipping department, and worked backward all the way to the blast furnace process, gathering snapshot data such as inventory levels before each process, process cycle times (CTs), number of workers, and changeover (CO) times. Fig. 1 shows the current state map that was constructed; the small boxes in the map represent the

VSM: future state map

The process of defining and describing the future state map starts while developing the current state map, where target areas for improvement start to show up. Looking at the current state map for ABS several things stand out: (a) large inventories, (b) the difference between the total production lead-time (around 51 days) and the value added time (5 days), which is under 10% of the total, and (c) each process producing to its own schedule. Inventory and lead time may be viewed as two related

Tools for process improvement

Since our goal was to identify the potential dynamic gains from implementing lean and to develop a desirable future state map, we focused on three lean manufacturing techniques that can be quantified and modeled objectively: a modified pull-type production system, setup reduction and total productive maintenance (TPM). To analyze and evaluate different scenarios for the future state map, a full factorial experimental design was planned for the simulation, with the three factors being the

The simulation model

To evaluate potential gains based on the implementation of the tools described in Section 5 and based on the questions analyzed in Section 4, a detailed simulation model was developed using System Modeling Corporation's Arena 5 software. We began with a model for the current system, which was later modified to model the proposed future state. Before evaluating the future state considerable effort was expended to verify and validate the model for the current system. Verification is the process

Simulation results and assessment

Once the simulation model for the current system was verified and validated it was used to evaluate the future state map and assess the relative impact of adopting the lean approach detailed in the previous two sections. It is worth mentioning that there are other lean techniques like 5S and visual systems, the benefits from which are not directly quantifiable and cannot be modeled as part of a simulation model. These have therefore not been included in our analysis, but these techniques could

The future state map revisited

The future state map for the annealed product for ABS is shown in Fig. 4. The results of the foregoing analysis are documented on the future state map, and the proposed lean tools are shown as kaizen bursts to highlight the improvement areas. Also shown are the supermarkets between each process after the HSM. As we can see in the map, ABS receives two schedules only; one at the continuous caster for the push system at the hot end and the other one at the TM for the pull system at the finishing

Summary

Applications of lean manufacturing have been less common in the process sector, in part because of a perception that this sector is less amenable to many lean techniques, and in part because of the lack of documented applications; this has caused managers to be reluctant to commit to the improvement program. This paper takes a case-based approach to address both issues. Many industries in the process sector actually have a combination of continuous and discrete elements, and it is in fact quite

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