Research Proposal (M04EKM)- Syed Shah Areeb Hussain - 0541198

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    RESEARCH PROPOSAL

    M04 EKM

    EVALUATING THE EFFICACY OF cGMP-LEAN INTEGRATED TECHNOLOGIES IN

    IMPROVING QUALITY AND COST IN PHARMACEUTICAL MANUFACTURING A

    CASE STUDY

    SYED SHAH AREEB HUSSAIN0541198

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    TABLE OF CONTENTS

    Abstract.........................................................................................................1

    Aim of the Study ..2

    Objectives of the Study2

    Project Deliverables ..2

    Significance of the Research3

    Research Methodology ....3

    Data Sources

    ..6Draft Headings ..7

    Task Schedules ..9

    Gantt Chart12

    References .13

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    EVALUATING THE EFFICACY OF cGMP-LEAN INTEGRATED TECHNOLOGIES IN

    IMPROVING QUALITY AND COST IN PHARMACEUTICAL MANUFACTURING A

    CASE STUDY

    ABSTRACT

    The purpose of this paper is to combine the lean manufacturing techniques with the current

    good manufacturing practices (cGMP) and analyse its efficacy in a pharmaceutical

    manufacturing setting. Implementing lean in the pharmaceutical sector has been met with

    several complications due to stringent quality control requirements (Lanez et al. 2012).

    Though cGMP principles are often are often viewed as contrary to those of lean

    manufacturing, one can be used to support the other and therefore can complement each

    other (O'Rourke & Greene, 2006). This study will analyse the current issues faced while

    implementing lean into the pharmaceutical sector and attempt to address these problems by

    associating it with cGMP principles. This will be done by implementing these principles within

    a pharmaceutical company and assisting them in reducing their lead times, cycle times and

    first yield quality pass rates. The results obtained in this study could be used as a standard for

    efficient implementation of these technologies in the pharmaceutical sector.

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    AIM OF THE STUDY

    The aim of the study is to relate cGMP to lean manufacturing techniques which can be

    implemented in the production line of a pharmaceutical company, and to evaluate thee

    efficacy of these principles in improving quality while reducing costs in the company.

    OBJECTIVES

    To identify and relate relevant cGMP and lean manufacturing principles that can be

    effectively implemented in a pharmaceutical manufacturing sector

    To analyse the current production process in the factory floor and identify key areas

    of improvements

    To develop and suggest improvements based on the cGMP-Lean combined principles

    within the manufacturing process

    To measure the variables governing quality, cost and time in the improved

    manufacturing process

    To evaluate the efficacy of the developed principles and techniques in improving

    quality, cost and time analysing the results with respect to similar case studies

    performed

    PROJECT DELIVERABLES

    Literature review highlighting the key concepts of cGMP and lean manufacturing and

    their relation to pharmaceutical manufacturing

    Enumeration of cGMP and Lean principles and techniques that can be applied in

    relation to each other to the pharmaceutical manufacturing process

    Current state map of the current process methods with yamazumi boards, pareto

    chart and spaghetti diagrams providing details of the processes

    Future state map of suggested techniques to be implemented with yamazumi boards,

    standard op sheets and negare cell walk diagrams to provide details of improvements

    Gantt chart and implementation plan for the integration of the techniques to the

    current process flow

    Table highlighting the changes in the variables defining quality, cost and timemeasured before and after the implementation of strategies

    Critical Analysis of cGMP-Lean principles in improving quality and cost while reducing

    time in the pharmaceutical manufacturing process

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    SIGNIFICANCE OF THE RESEARCH

    Stringent quality control regulations and growing complexity of diseases have led to the

    increased costs in pharmaceutical manufacturing industries (DiMasi et al. 2003). While on one

    hand, other technological sectors have greatly reduced their operating costs to provide the

    best products at a reasonable price, the cost of production of medicines has only increased.This is in part due to the lean manufacturing technology that is now implemented in almost

    all other manufacturing industry. Previous studies have shown that lean manufacturing

    principles can be modified and made concurrent with the pharmaceutical manufacturing

    requirements to develop efficient manufacturing systems (Thomas 2005). However, often the

    application of these techniques undermine the cGMP regulations (Dermot and Greene 2006).

    Therefore there is a need to identify an integrated approach that combines the common

    elements of lean manufacturing and cGMP guidelines.

    The proposed research aims to develop a cGMP-Lean combined approach towards lean

    manufacturing, which will then be applied in a production line of the selected pharmaceuticalcompany improve the cost and quality efficiencies. The results obtained from this study would

    be applicable to any pharmaceutical organization and is expected to provide effective cost

    reduction and improved quality.

    As a biotechnology engineering graduate, the optimization of the pharmaceutical

    manufacturing process is one of my key interests, which has strongly influenced my selection

    of the research project.

    RESEARCH METHODOLOGY

    The proposed research requires the use of both quantitative and qualitative research

    methodologies. Qualitative research methodologies are concerned with individual

    perspective and focus on drawing conclusions through discussions. On the other hand

    quantitative research methods focus on absolute data and draw conclusions through

    quantifiable data. The proposed research would require qualitative research methods in

    order to obtain inputs from the factory operators on the applicability of the techniques. On

    the other hand, quantifiable data related to cost, time and quality measurements will be usedto critically analyse the efficacy of the introduced techniques.

    Literature Review Qualitative

    A literature review highlighting the various cGMP and lean manufacturing techniques will be

    produced. This will be done through qualitative analysis of the current advancement in these

    technologies and will highlight the different advantages and challenges of said technologies.

    A few case studies have been performed on the implementation of lean in the pharmaceutical

    industry (Chowdary and George 2011, Carleysmith et al. 2009, Weller et al. 2006). These case

    studies will be discussed in detail and will be used for reference for critical analysis with

    respect to a cGMP-Lean combined approach.

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    Enumeration of cGMP-Lean techniques Qualitative

    The literature review will be followed by the selection of appropriate lean and cGMP

    techniques to be implemented in a selected production line at the designated pharmaceutical

    manufacturing company. cGMP guidelines and lean manufacturing principles are often

    viewed as opposed to each other because while the former focuses on increased qualitychecks, the latter focuses on reduced wastes. However, the underlying concepts of these two

    principles is the same that is to add value to the produce. Moreover, they share some

    common ground as both are concerned with implementing standard operating procedures,

    continuous improvement and flow within the process (Dermot and Greene 2006). Therefore

    development of the techniques will require a qualitative analysis of these underlying

    concepts, their relation and validity for application in pharmaceutical manufacturing.

    Current State Map Quantitative

    The Current state map is often the first tool used for implementing the lean principles. The

    current state map provides a broad view of the current processes and the process stream

    (Rother and Shook 2003). Developing the current state map will require quantitative

    methodology in the form of data such as cycle times, inventory etc. that are obtained through

    observation of measurement of variables at each of the processes within the selected

    production line. The data collected will then be used to create a complete picture of the

    process stream.

    Future State Map Mixed

    The next step in lean manufacturing is formation of the future state map, which defines what

    the process should look like in the future after implementation of lean techniques. This willrequire both qualitative and quantitative research methodologies.

    Firstly, the cGMP-Lean principles need to be discussed with the factory floor workers to verify

    their validity and applicability to the process. This will require discussions in focus group to

    identify areas of improvement and implement strategies.

    Secondly, optimizations in the process using the cGMP-Lean techniques will be measured to

    produce quantifiable data, which will be used to calculate the different variables in the future

    state map (Rother and Shook 2003).

    Implementation Plant and Gantt Chart Mixed

    The implementation plans will be produced based on the present data to ensure sufficient

    time allowance. This will be done through discussions with the production line manager as

    well as data collected in the initial stages.

    Critical Analysis Qualitative

    Mukhopadhyay et al. (1998) were the first to suggest implementation of lean manufacturing

    techniques through an integrated approach to the pharmaceutical manufacturing. In recent

    years several other case studies have been performed on implementation of lean within the

    pharmaceutical industry (Weller et al. 2006, Carleysmith et al. 2009, Chowdary and George2011). However, these case studies have not attempted to integrated cGMP practices to lean

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    manufacturing. The proposed research will explore the benefits of this integration as

    compared to the previous work and critically analyse the various aspects of this approach.

    Though the research methods to be employed are expected to produce the desired results,

    several factors may hamper the effective analysis of data. Firstly, resistance to change can be

    a key factor in reducing the involvement of factory workers and plant managers in focus

    groups. This will greatly affect the ideas proposed and therefore reduce the effective

    implementation. These problems can be overcome by efficiently communicating the need to

    implement the change in the organization and the benefits the new system would provide.

    Secondly, often sole quantitative analysis may not be sufficient in producing the current state

    map as it may be necessary to discuss the variable related to machines being used for several

    different products. In this case a discussion with the operator would be required to identify

    cycle times and inventories for a specific product as these are not clearly visible.

    DATA SOURCES

    The literature review will require mostly secondary data sources such as books, case studies

    and journal articles. These will be obtained through the Lanchester library at Coventry

    University.

    The current state map will be developed through observations and discussions. Therefore it

    would mostly involve primary data sources.

    The Future state map will require both primary and secondary data sources. While previously

    conducted research and case studies need to be used for developing ideas for improvement,

    the feedback from operators in focus groups will also be needed to effectively implement

    these techniques.

    Gantt chart, implementation plans and the quality, cost and time measurement tables will

    require the use of primary sources of data. This is because it will require going to the factory

    floor and personally measuring the different variables in the process through observations

    and discussions.Finally both primary and secondary sources of data will be used for the critical analysis. The

    primary sources used for this will be the different measurements of improvement that are to

    be calculated. The secondary sources will be case studies and previous researches with which

    the current case study needs to be compared.

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    Draft Headings

    1 Introduction

    1.1 Background

    1.2 Aim

    1.3 Research Objective

    1.4 Scope and Benefit

    1.5 Limitations of the Study

    2 Literature Review

    2.1 Current Good Manufacturing Practices

    2.1.1 What is cGMP

    2.1.2 Need for cGMP

    2.1.3

    Regulations based on cGMP2.1.4 Other Good Practices (GLP, GCP, GRP)

    2.2 Lean Manufacturing Principles

    2.2.1 Value Stream Mapping

    2.2.2 Pareto Analysis

    2.2.3 Yamazumi Board

    2.2.4 Spaghetti Diagram

    2.2.5 Cell Design

    2.2.6 Nagare cells and walk diagrams

    2.2.7

    Workload sharing

    2.3 Pharmaceutical Manufacturing

    2.3.1 Current Practices in Pharmaceutical Manufacturing

    2.3.2 Challenges faced in drug development

    2.3.3 cGMP in Pharmaceutical manufacturing

    2.3.4 Lean in pharmaceutical manufacturing

    2.3.5 Combining cGMP with Lean

    3 Research Methodology

    3.1 Types of Research Tools Employed

    3.2 Data Collection Methods

    3.3 Data Analysis Tools

    4 Case Study

    4.1 About The Company

    4.1.1 Current Problems faced by Company

    4.1.2 Selection of Production Line

    4.2 Root Cause Analysis

    4.3 Pareto Analysis

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    4.4 Current State Value Stream Map

    4.5 Cell Design

    4.6 Yamazumi Board

    4.7 Future State Value Stream Map

    5 Results

    5.1 Lead Time reduction

    5.2 First Yield Quality Pass Rate

    5.3 Cost reduction analysis

    6 Discussion

    6.1 Improvements in the production line

    6.2 Comparison with previous studies

    6.3

    Benefits of integration of cGMP with lean manufacturing principles6.4 Practical Validation

    7 Conclusion

    8 References

    TASK SCHEDULES

    Deliverable - Literature review highlighting the key concepts of cGMP and lean manufacturing and

    their relation to pharmaceutical manufacturing

    No. Tasks Days Dependency Re-

    sources

    Risks

    1 Gather Literature 5 Library,

    Computer

    Library may

    be closed

    2 Read and Organize Literature 5 1, Com-

    puter,

    Books

    Books may

    be checked

    out

    3 Draft Section Headings 1 1, 2 Computer May Lose

    data

    4 Prepare Draft Literature Review 4 1, 2, 3 Computer May Lose

    data5 Proof Read 1 1, 2, 3, 4 Computer May Lose

    data

    6 Apply corrections and prepare final version 1 1, 2, 3, 4, 5 Computer May Lose

    data

    Total 17

    Deliverable - Enumeration of cGMP and Lean principles and techniques that can be applied in

    relation to each other to the pharmaceutical manufacturing process

    No. Tasks Days Dependency Re-

    sources

    Risks

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    1 Collect relevant literature(books and jour-

    nals)

    3 Library,

    Computer

    Library may

    be closed

    2 Read and list all lean techniques 1 1, Computer May Lose

    data

    3 List all cGMP guidelines and regulations 1 1,2 ejournal

    libraries4 Compare and contrast lean principles to

    cGMP guidelines

    4 1, 2, 3,

    5 Select and integrate suitable principles from

    lean and cGMP to develop a list of cGMP-

    Lean techniques

    4 1, 2, 3, 4

    6 Discuss validity of techniques with plant

    manager

    1 1, 2, 3, 4, 5

    7 Prepare final version of list 1

    Total 15

    Deliverable - Current state map of the current process methods with yamazumi boards, pareto chart

    and spaghetti diagrams providing details of the processes

    No. Tasks Days Dependency Re-

    sources

    Risks

    1 Select Production line for case study 1

    2 Prepare draft overview of the process stream

    by walking along the stream

    1 1,

    3 Note down the WIP at each process 2 1, 2 Calculator Too much

    WIP may be

    difficult to

    count

    4 Discuss other process variables like cycle

    times, quality pass rate and availability with

    operators

    1 1, 2, 3 Inaccuracy in

    measure-

    ments

    5 Using data collected, prepare a rough current

    state map while walking along the process

    stream

    5 1, 2, 3, 4 A3 Sheet,

    Calculator

    6 Proof read CSM 1 1, 2, 3, 4, 5

    7 Apply corrections if necessary and prepare fi-

    nal version

    1 1, 2, 3, 4, 5, 6 Microsoft

    Visio

    Total 12

    Deliverable - Future state map of suggested techniques to be implemented with yamazumi boards,

    standard op sheets and negare cell walk diagrams to provide details of improvements

    No. Tasks Days Dependency Re-

    sources

    Risks

    1 Prepare Yamazumi Board and relate to takt

    time

    1 Excel

    Spread-

    sheet

    2 Analyze current state map with respect to 7

    wastes

    1 1, Literature

    review

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    3 Discuss the problems of the current state

    map with factory operators and production

    line manager

    2 1, 2 Recorder

    4 Introduce previously developed cGMP-Lean

    principles and identify areas for implementa-

    tion

    1 1, 2, 3

    5 Carry out focus groups to analyze the validity

    of principles with respect to the current pro-

    cess

    2 1, 2, 3, 4 Recorder

    6 Perform Future state calculations 1 1, 2, 3, 4, 5 Calculator

    7 Using data calculated and techniques pro-

    duced, develop a draft Future State Map

    3 1, 2, 3, 4, 5, 6 Microsoft

    Visio

    8 Proof Read and create final version 2 1, 2, 3, 4, 5,

    6, 7

    Total 13

    Deliverable - Gantt chart and implementation plan for the integration of the techniques to the cur-

    rent process flow

    No. Tasks Days Dependency Re-

    sources

    Risks

    1 Discuss implementation timelines with plant

    manager

    2 Resistance to

    change

    2 Prepare draft implementation plan 5 1, Excel

    Spread-

    sheet

    3 Discuss validity of plan with plant manager 1 1, 2

    4 Prepare Gantt chart for implementation 3 1, 2, 3 ExcelSpread-

    sheet

    5 Take steps to introduce the plan in a smooth

    and timely manner

    5 1, 2, 3, 4 Resistance to

    change

    Total 16

    Deliverable -Table highlighting the changes in the variables defining quality, cost and time measured

    before and after the implementation of strategies

    No. Tasks Days Dependency Re-

    sources

    Risks

    1 Measure the cycle time, changeover times,lead time, quality pass rate etc. for each pro-

    cess

    3 Inaccuracy inmeasure-

    ments

    2 Prepare a table to contrast current variables

    after implementation of strategy with those

    in the current state map

    1 1, Excel

    Spread-

    sheet

    3 Calculate the first pass yield, lead time and

    perform cost analysis before and after imple-

    mentation

    3 1, 2 Calculator

    4 Contrast the obtained values in a detailed ta-

    ble

    3 1, 2, 3

    Total 10

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    Deliverable - Critical Analysis of cGMP-Lean principles in improving quality and cost while reducing

    time in the pharmaceutical manufacturing process

    No. Tasks Days Dependency Re-

    sources

    Risks

    1 Compare data from tables produced in the

    results sections

    5

    2 Identify benefits of implementing the princi-

    ples as compared to the traditional approach

    2 1,

    3 Compare the results with those obtained in

    previous studies

    5 1, 2

    4 Highlight benefits of cGMP-Lean over rele-

    vant literature

    3 1, 2, 3

    5 Identify the limitations of the research and

    areas of further research

    2 1, 2, 3, 4

    6 Prepare draft Sections 3 1, 2, 3, 4, 5 Computer

    7 Proof Read and perform corrections 1 1, 2, 3, 4, 5, 6 Computer

    8 Prepare final version 3 1, 2, 3, 4, 5,

    6, 7

    Computer

    Total 24

    Total No. Of days = 107 days

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    GANTT CHART

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    Carleysmith, S.W., Dufton, A.M., and Altria, K.D. (2009) Implementing Lean Sigma in Pharmaceutical

    Research and Development: A Review by Practitioners. R&D Management, 39 (1), 95106.

    Chowdary, B. V. and George, D. (2011) Improvement of Manufacturing Operations at a

    Pharmaceutical Company.Journal of Manufacturing Technology Management, 23 (1), 5675.

    available from

    Dermot, O. and Greene, A. (2006) Lean Manufacturing Practice in a cGMP Environment[online]

    available from [29 December 2014]

    DiMasi, J.A., Hansen, R.W., and Grabowski, H.G. (2003) The Price of Innovation: New Estimates of

    Drug Development Costs.Journal of health economics, 22 (2), 15185.

    Lanez, J.M., Schaefer, E., and Reklaitis, G.V. (2012) Challenges and Opportunities in Enterprise-

    Wide Optimization in the Pharmaceutical Industry. Computers & Chemical Engineering, 47,

    1928. available from

    [13 December 2014]

    Mukhopadhyay, S.K., Dwivedy, J., and Kumar, A. (1998) Design and Implementation of an

    Integrated Production Planning System for a Pharmaceutical Manufacturing Concern in India.

    Production Planning & Control, 9 (4), 391402.

    Rother, M. and Shook, J. (2003) Learning to See: Value Stream Mapping to Add Value and Eliminate

    Muda, Lean Enterprise Institute.

    Thomas, H. (2005) Transforming the Pharma Industry: Lean Thinking Applied to the Pharmaceutical

    Manufacturing. in World Congress of Chemical Engineering. held 2005

    Weller, H.N., Nirschl, D.S., Petrillo, E.W., Poss, M.A., Andres, C.J., Cavallaro, C.L., Echols, M.M., Grant-

    Young, K.A., Houston, J.G., Miller, A. V, and Swann, R.T. (2006) Application of Lean

    Manufacturing Concepts to Drug Discovery: Rapid Analogue Library Synthesis.Journal of

    combinatorial chemistry, 8 (5), 6649.