Sustainable Performance Using Value Stream Mapping

Lean manufacturing tools do not consider environmental and social benefits, which are important elements in furniture making. By integrating these into an analysis tool, practitioners will have greater overview of the different aspects of production. By Sri Hartini, Sriyanto and Darminto Pudjotomo, Diponegoro University, and Udisubakti Ciptomulyono and Maria Anityasari, Institut Teknologi Sepuluh Nopember

The concept of Lean Manufacturing (LM) was pioneered by a Japanese automotive company, Toyota, during 1950’s which was famously known as Toyota Production System (TPS). The primary goal of TPS was to reduce the cost and to improve productivity by eliminating wastes or non-value-added activities. 

 

Manufacturing firms operating in the rapidly changing and highly competitive market of the past two decades have embraced the principles of lean thinking. In doing so, they are reorganised into cells and value streams to improve the quality, flexibility, and customer response time of their manufacturing processes.

 

Studies at the operation level concluded that LM was very powerful for increased operational performance on quality, reduced inventory, productivity; and reduced cost. 

 

Even LM can also be used as a strategy to improve business performance in terms of profitability, sales, customer satisfaction and business performance. But traditional LM tools do not take into account environmental and societal benefits.

 

In recent years, modern manufacturing systems are expected to be lean and sustainable. Lean concepts ensure waste elimination and cost reduction. Sustainable concepts focus on the development of environmentally friendlier products and processes considering the economical and societal constraints as well. There is a potential to extend lean tools for ensuring sustainable benefits. 

 

Few studies have been reported on the context of applying lean tools for developing greener processes and strategies for environmentally benign manufacturing. There is positive impact of integration lean and sustainable manufacturing on three bottom line performance. 

 

Value stream mapping (VSM) is a fundamental lean technique to identify waste and value improvement opportunities. VSM is a diagnostic technique that originated from lean manufacturing principles. Its purpose is to identify value-adding and non-value-adding activities in the value stream so that wasteful activities can be eliminated, and production can be aligned with demand. 

 

It has been emphasised that traditional VSM framework does not account for environmental and societal performance. A number of studies have addressed the extension of VSM to incorporate additional criteria. 

 

A vast majority of these efforts have focused on adding environment and energy-related metrics to VSM. Hence, some suggested sustainable VSM (Sus-VSM) to evaluate triple bottom line (TBL) performance of manufacturing and applied to an industry study. The Sus-VSM added environment and social metrics to VSM. 

 

However, they only focus to identify a general set of metrics that will have broad application across many industries. Further customisation may be needed to assess industry specific aspects during application on a case-by-case basis by first identifying key performance drivers for that industry and then selecting relevant metrics to evaluate those aspects. 

 

Goals of this research is to design an analysis technique based on lean and green to achieve sustainable manufacturing, map of wastage and waste from furniture factory (current state mapping) and suggestion strategy to improve production sustainability. 

 

This research is very relevant to the problems of Indonesian manufacturing company. Indonesian manufacturing company still has a low level of efficiency, especially small and medium enterprises. 

 

A Furniture factory in Semarang has efficiency rate about 50%. In this case the traditional value stream mapping can determine the source of waste, non-value-added activity, ie: high setup, inappropriate processes, inventory and defects. The development of jig management information systems can reduce setup time up to 65 percent. Redesigning the working environment with 5S can reduce the change over time about 41.6 percent and can increase the machine capacity. 

 

The VSM, however, could not identify the waste (solid, wastewater or emission) in the furniture factory, even though, many forms of non-product output occur in the furniture industry that may not be realised by the management, such as wood waste from defective product, spraying when doing finishing, excessive use of office paper, glue, water, paint and others. 

 

The production of furniture is among the ones that drives global economy: intense environmental degradation and high levels of waste in operational activities and high-volume consumption of raw forest materials.

 

This study developed a sustainable-VSM to evaluate sustainability performance in furniture company after selecting relevant metrics with furniture company. Relevant metrics are selected based on lean and sustainable manufacturing thinking. It is necessary for furniture company to understand the environmental impacts of their products at each phase of the production processes. 

 

Integrating sustainable concept and VSM allows improvement process to focus on specific environmental improvement actions. It also provides benefits in terms of monitoring the environmental impacts during the lean improvement initiatives. To validate the capability of sustainable-VSM, a case study was conducted in a furniture company. 

 

VSM For Sustainability 

A method called Sustainable Value Stream Mapping (SVSM) was proposed earlier as a means to enhancing sustainability in product manufacture by analysing emissions of the greenhouse gas, CO2, in addition to value-adding time, throughout the value stream. 

 

The research used SVSM in a study carried out for the UK Department for Transport in order to model CO2 emissions from farm gate to retail outlet for alternative distribution scenarios for three supply chains: lettuce, apples and cherries. 

 

Later on, SVSM was extended to include additional environmental performance indicators (EPIs) in order to evaluate the occurrence of physical wastes and wasted resources in the manufacture 

of a specific product or product family, and to attribute those wastes to discrete activities. 

 

This extended form of SVSM provides an applied and systematic approach to the improvement of operational efficiency and environmental performance, especially for small companies with limited resources. 

 

The US Environmental Protection Agency discussed about the toolkit framed by the US EPA’s to track the environmental wastes using lean techniques. This tool kit helps in identifying and eliminating environmental wastes by tracking and visualising environmental metrics namely material and water usage along with conventional VSM metrics. This toolkit fails to include energy consumption metric in VSM. 

 

Subsequently, the US EPA created another toolkit which adds energy consumption metric with the existing environmental metrics in VSM which helps in tracking energy flow and consumption. However, both the tools fail to include societal metrics and emphasise more on inclusion of environmental and energy consumption metrics in conventional VSM. 

 

Subsequently, a managerial tool was developed to align the economical and environmental aspects in production process by mapping strategy. This study was applied in an alcohol and sugar manufacturing industry, but only for water consumption. The tool is called Environmental VSM (EVSM). 

 

After the tool development, future development alternatives are discussed. A methodology named sustainable manufacturing mapping (SMM) was developed by combining discrete event simulation(DES) and life-cycle analysis (LCA) along with traditional VSM. 

 

Sustainable manufacturing indicators were identified and modelled current maps to assess the sustainable performance of manufacturing organisations. It has also been identified that no attempt was made in constructing the desired future state for the current manufacturing system from sustainability viewpoint. 

 

In addition, an assessment tool integrating environmental and energy metrics with VSM was modelled to evaluate the sustainability of manufacturing firms. This tool captures only the energy consumption for processes and fails to capture energy consumed for transportation. 

 

Other researchers developed a methodology for Sus-VSM to capture economic, environmental, and societal sustainability of manufacturing firms. They also identified suitable metrics and visual symbols to develop Sus-VSM and conducted a study at satellite television dishes manufacturing firm. 

 

In another study, conventional VSM was extended and incorporated the metrics for sustainability and created a Sus-VSM. The applicability of the model was demonstrated using three case studies and the results are summarised for each case. 

 

The application of the VSM tool was explored so as to determine the waste that have environmental impact in a specific agrifood supply chain; the production of the canned peach. The main objective of their study is to propose a four-step approach for measuring the environmental performance of supply chains in the food sector based on lean thinking techniques so as to identify sources of waste in the selected supply chain. 

 

Some literature on extended VSM were collected to enhance sustainable manufacturing in 2002-2016. It was found that most literature were case study articles, followed by theoretical papers and simulation modelling papers. 

 

While, based on three bottom line indicator, that most metrics are environmental, followed by social and then economic metrics. The most of the environment metrics were energy, material and water consumption. 

 

Based on the application in the industrial sector, the extended VSMs were applied in the automotive industry, followed by agricultural food and electronic industry. While the sustainable-VSM for the furniture industry has never been applied. 

 

Sustainable-VSM previously developed has a general set of metrics that will have broad application across many industries. However, further customization may be needed to assess specific aspects of furniture company. 

 

This study developed sustainable-VSM for furniture company with the specific metrics and relevant with production process of furniture company. And, the study provides insights to practitioners of furniture company to visualise process performance from traditional and environmental. 

 

Metric Design For Sus-VSM 

VSM is a system analysis tool designed to find potential waste in the production process. This research developed VSM so that is can analyse the impact of production process towards sustainability. 

 

Design of the metrics in sustainable-VSM for furniture company based on the results of questionnaires from top level of furniture companies (10 companies). 

 

Questionnaire based on lean metrics and sustainable manufacturing metrics was prepared using the Likert scale. The selection of metrics is using the level of consensus (cut off value = 0.5) and weighted average (cut off value 4.2). 

 

Selected metrics for sustainable performance of furniture based on lean manufacturing are time, work in process, cost, defect (economic aspect), material waste, material consumption energy consumption (environment aspect), environment health and safety, physical load index, sickness rate, employee training, hazard material (social aspect). 

 

Selected metrics for sustainable performance of furniture based on sustainable manufacturing are revenue, cost (economic aspect), recycling of waste, energy efficiency, material waste and consumption (environment aspect), employee satisfaction, accidents rate (frequency and number), employee health evaluation, local supplier (social aspect). 

 

Design of metrics for furniture company based lean and sustainable manufacturing are time, work in process, cost, product defect (economic aspect), energy consumption, material consumption (environment aspect), health rate of employee, safety rate of employee, satisfaction rate of employee, training of employee (social aspect).


 

As revenue is assumed to be represented by cost, it is not selected. Waste treatment is not incorporated in VSM because reuse of wood waste is commonly done in furniture companies. While the chemical waste from finishing process will be done by third party. 

 

Sustainable-VSM Design

Sustainable-VSM as an analysis tool is able to measure economic metric, environment metric, and social metric. With the measured values from the three aspects of sustainability, the sustainability analysis can be done. 

 

The proposed sustainable-VSM has multi-layer analysis line, including time analysis line for analysis about value-added ratio, material analysis line for analysis about material efficiency, energy analysis line for analysis about energy efficiency, defect analysis line for analysis about quality efficiency, cost analysis line for analysis about cost efficiency and health-safety analysis line for analysis about labour efficiency. 

 

Material waste is not included in analysis line because material waste has been incorporated in material analysis line. If the efficiencies of each aspect can be improved then system sustainability can also be improved.

 

Data Collection 

The case study was done at PT X, furniture company in Semarang, Indonesia. The reason to choose this company is that it has relatively high standard product with several product variations. The object are Totem Coat and Hat Stand, because those products were produced in the survey period. 

 

Generally, the production process in PT X are raw material preparation, construction, assembly, finishing, quality control and packaging. The first process is raw material preparation, which is turning wood logs into boards to be processed. 

 

Construction process is forming the boards according to the product design. Assembly is the process of combining the various components. Finishing is the last process to finalise the product, such as smoothening of the wood surface. After the finishing is done, quality control is done before packaging to ensure that products are in accord to the specifications. 

 

Measurements of production time was designed with 20 observations in each process. Material consumption was calculated using approximated unit of weight by multiplying the wood volume and the density of tamarind wood (0,45 gr/cm3 or 450 Kg/M3).

 

Production of wood waste was calculated by subtracting material input with its output. Energy consumption was approximated by calculating electrical energy needed for production process of Totem Coat and Hat Stand at each machine in kwh. 

 

Economic & Social Wastes

From the results of sustainable-VSM, it can be seen that potential waste from economic and social aspect almost spread in almost all production processes while potential of environmental impact occurs at sawmill and construction process. 

 

Types of waste in economic aspect includes too much setup and processing time, too many defects and work in process, and machine failure. These can be reduced by improving the work system. Too much unneeded time such as waiting, setup, and transportation time results in large processing time. 

 

Old machines and breakdowns are also a problem in production and result in idle time. Careless production process during construction results in out of specification final products. Defects will result in waste of material, workforce, and energy. This will increase the production cost thus reducing profit.


 

Types of waste in environmental aspect include the high amount of wood waste, especially in sawmill process. Wood consumption efficiency is 145 kg/266kh (54.5%). 

 

The high amount of energy consumption during sawmill process is the most (60%), and followed by oven process (10%). Reduction in environmental impact can be done by turning wood waste into alternative product that can increase the value. 

 

Energy consumption during oven process can be reduced by trying to find another alternative of oven with less energy consumption. Benchmark from other companies suggested, that oven could be operated by burning wood waste that cannot be used anymore. 

 

However, burning wood can also produce carbon dioxide emission and has negative impact to the environment. Comparison between using electricity and burning wood waste can be done by looking at the production cost and the emission level. 

 

Social aspect in this research is more focused on the work posture which is not ergonomic. The high amount unergonomic wood lifting and machining may cause muscle strain. This can be reduced by improving the work environment, especially by using aid tools during production process and material handling. 

 

If the potential problems that result in economic, environment, and social aspect can be improved, then sustainability level can also improve. 

 

This research has succeeded in designing analysis tool based on lean and green manufacturing and performing case study in a furniture company. The result is that the developed tools can analyse problems in economic, environment, and social aspects as the basic of improvement. 

 

Up to now, the improvement process still undergone. Once completed, the improvement will provide input for further analysis.

 

Improvement design of analysis tool based on lean and sustainable manufacturing has been done and validated by performing case study in a furniture company. 

 

Analysis tool is able to identify potential problem in economic, environment, and social aspects which are the pillars of sustainable manufacturing. If these problems can be reduced the sustainability level will improve. Problems in economic aspect include the high amount of process and setup time, amount of defect, breakdown machine and work in process in almost all processes. 

 

While in the environmental aspect is the high amount of wood waste during sawmill process and energy during oven process. While in the social aspect is unergonomic the work posture and potential of accident rate still high in sawmill process. 

 

This study successfully developed an analysis tools based on lean and green for evaluate of sustainability performance: sustainable-VSM. If this proposed tools was compared to other sustainable-VSM findings, this tool involves the relevant metrics with the characteristics of the company under study. 

 

The proposed analysis tool involves the level of defect and level of risk that have not been included by other researchers. 

 

However, due to limitations of data access, cost metrics cannot be measured even though they are highly relevant. Suggestions for further research is to do simulation of various strategies that can reduce problems in economic aspect. By doing simulation, a strategy with the highest impact on the improvement of sustainability can be found. 

 

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