Maintenance Optimization for Critical Equipments in Process Industries

Download Full-Text PDF Cite this Publication

Text Only Version

Maintenance Optimization for Critical Equipments in Process Industries

Priyank J. Prajapati

Student, Dept of Mech. CAD/CAM Engineering, Indus University, Ahmadabad,

Gujarat, India

Nilesh H. Pancholi

Prof., Dept of Mech. CAD/CAM Engineering, Indus University, Ahmadabad,

Gujarat, India

Abstract In the highly uncertain economic climate of the moment, a major priority for companies is to improve operational efficiency. Maintenance departments have traditionally been budgetary black holes. So, companies are trying to find methods to optimize the production and utilization of their assets. The present work describes new methodology designed to optimize planning of maintenance. An analysis of maintenance related researches shown that there are many research articles available concerning processing plant. However, Very few studies focus on critical examination of maintenance practices in plate and coil mill.

This research work on Maintenance optimization executes at Welspun Corp. Ltd., Anjar, Kutch. In present study, Experimental investigations conducting to assess the influence of various equipments in terms of MTBF, MTBR, MTTR. Analysis of data will help to find out the critical components in plant. The goal of this dissertation work is to analyse the maintenance data and recommend optimized maintenance plan.

Keywords Plate and coil mill, Analysis, Maintenance

  1. INTRODUCTION

    Maintenance activities are those use resources in physically performing those action and tasks attendant on the equipment maintenance functions for test, servicing, repair calibration, overhaul, and modification so on. It can be performed on an individual machine or entire group of machines simultaneously. Realizing the need for continuous improvement most companies have initiated the focused program covering various aspects of maintenance. The need for the hour is to offset the continual increase in input cost through optimized maintenance operations.

    Optimization is an effective tool for improving the effectiveness of the system and hence, the cost will be reduced. Proper maintenance of plant equipment can significantly reduce the overall operating cost, while boosting the productivity of the plant. Management personnel often consider plant maintenance an expense, yet a more positive approach is to view maintenance work as a profit centre. In consideration of this new perspective, the requirements for maintenance management have change drastically from the old concept of fix-it-when-broken to a more complex approach, which entails adopting a maintenance strategy for a more integrated approach and alignment. Furthermore, the high level of complexity of todays industrial plants requires an elevated level of availability and reliability of such systems. The development of new technologies and managerial practices

    means that maintenance staff must be endowed with growing technical and managerial skills.

    The main objectives related to maintenance are: ensuring system basic functions (availability, efficiency, and reliability); ensuring system life through proper connections between its components (asset management); and ensuring safety for human operators, environment and system itself. Proper maintenance of plant equipment can significantly reduce the overall operating cost, while boosting the productivity of the plant. Management personnel often consider plant maintenance an expense, yet a more positive approach is to view maintenance work as a profit centre. In consideration of this new perspective, the requirements for maintenance management have change drastically from the old concept of fix-it-when-broken to a more complex approach, which entails adopting a maintenance strategy for a more integrated approach and alignment. Furthermore, the high level of complexity of todays industrial plants requires an elevated level of availability and reliability of such systems. The development of new technologies and managerial practices means that maintenance staff must be endowed with growing technical and managerial skills.

    Increased reliability could be achieved through increased maintainability. This has emphasized the importance of maintenance, especially for the systems designed to operate in less friendly environment. An efficient maintenance process could be achieved through optimized preventive maintenance methods, considering also the influences of palliative maintenance actions.

  2. LITERATURE SURVEY

    T. Sahoo, P.K.Sarkar, A.K.Sarkar proposed Maintenance Optimization for Critical Equipments in process industries based on FMECA Method and showed the feasibility of conducting an optimum method of maintenance. This approach was based on the analysis FMECA. The implementation of this approach showed its contribution in reducing maintenance costs.

    Godwin Barnabas, Maran , Nixon and Ambrose Edward proposed Maintenance cost optimization for the process industry and concluded that the usage of AHP provides priority in selecting the various maintenance policies and by linking this with GP various goals has been achieved.

    J. Ashayeri, A. Teelen, W. Selen proposed A Production and maintenance planning model for the process industry and developed a model using branching strategy and performance of model which minimized several

    production and maintenance related cost factors during long or medium term planning horizons, taking into account the probability of break-downs.

    Mahesh Pophaley, Ram Krishna Vyas proposed Plant maintenance management practices in automobile industries: A retrospective and literature review and concluded holistic design for maintenance methodology.

    DuyQuang Nguyen and Miguel Bagajewicz proposed Optimization of Preventive Maintenance Scheduling in Processing Plants and concluded A new maintenance model based on the use of Monte Carlo simulation and integrated with GA optimization.

  3. IDENTIFIED INDUSTRY (3.1) company profile

    Today, the Welspun Group is present in Line pipes, Home Textiles, Infrastructure, Energy and Oil & Gas, Plate & coil mill. Among them my dissertation work executes at Plate & Coil Mill Division (PCMD).

    Welspun City takes pride in housing one of the only three Plate & coil mills of its kind in the World. This mill with a capacity of producing plates up to 4.5 meters width and Coil up to 2.8 meters wide is all set to improve Welspun's operational capabilities.

    (3.2) Plate and Coil Mill division

    Welspun Corp Limited (Plate & Coil Division) – having a capacity of 1.5 million tons per annum offers heavy Plates & Coils from their latest, state-of-the-art VAI / SIEMENS,

    4 high reverse rolling steckel mill for challenging application including line pipe, structural steels, pressure vessel and boiler quality plates, ship building & offshore construction. The plates & coils have been supplied to major projects like Bangalore Metro rail project, Mumbai International Airport project, water and oil and gas pipeline projects, wind power projects etc.

    Product range:

    The Plant has a 4.5 m wide rolling stand and is capable of rolling Plates / Coils in the following dimensions:

    Plates : Dimension Range

    Coil : Dimension Range

    Width

    1500-4500 mm

    Width

    1500-2800 mm

    Thickness

    8 – 140 mm

    Thickness

    8 – 25 mm

    Length

    up to 24 Meters

    Coil weight

    Max. 45 MT

    Table 1 Product Detail

    Fig. 1 Process flow diagram of plate and coil mill

    Data collection:

    As a Part of case study we have selected plate & coil mill in welspun pvt. Ltd. In plate & coil mill plant we have collected historical data with the information of Delay, MTTR, MTBF.

    Month

    Available Time

    (min)

    Delay

    Freq of failure

    MTTR

    MTBF

    MAY.15

    44640

    9001

    74

    122

    482

    JUN.15

    43200

    10031

    68

    148

    488

    JUL.15

    44640

    18611

    67

    278

    388

    AUG.15

    44640

    15896

    49

    328

    593

    SEP.15

    43200

    4024

    69

    58

    568

    OCT.15

    44640

    7998

    51

    157

    718

    NOV.15

    43200

    10929

    54

    202

    598

    DEC.15

    44640

    7243

    63

    115

    594

    Table 2 Month wise plant delay

  4. ANALYSIS OF MAINTENANCE DATA

    a. Survey Results:

    After analysing the data and brainstorming with managers of company we have found some critical components of plant which need more care to be taken while planning of maintenance at particular are given below:

    • Reheating furnace (RHF) :

      Slabs are heated in continuous side (top & bottom) fired walking beam type reheating furnace of a capacity of 200tons/hr. The fuel used for reheating furnace is natural gas. The furnace is divided into four zones i.e. recuperative, preheating, heating and soaking zones. The furnace is equipped with automatic combustion system, waste gas exhaust system, recuperator and modern instrumentation and control system.

    • Descaler

      It is a device used to remove oxide layers from during the reheating process by high pressure water jet with the help of reciprocating pump. The delivering pressure is 250-300bar. Water is pressurized by descaling pumps driven by 7 motors (2 pumps each motor).

    • Steckel mill coiler furnace (SMCF)

      It is also called Steckle mill Coiler furnace (SMCF). Two coiler furnaces are located at entry and exit side of the mill. It is used when coil rolling is done and the function of the coiler furnace is to maintain the temperature of the strip during the rolling process as the length of the strip is more when compare to plate rolling.

    • Downcoiler

      It is used for the production of the coils. It is named so, because wrapping of the strip and production of coil is done below the floor or zero level. It is capable of coiling material between 5mm and 25mm in thickness and width up to 2800mm (this is the worlds widest coil Steckle mill).

      Month wise delay data for above four component are given below with freq. of failure and MTTR:

      May-15

      Equipment

      Available time

      Delay

      Frequency of failure

      MTTR

      RHF

      44640

      185

      3

      62

      DESCALAR

      44640

      221

      3

      74

      SMCF

      44640

      178

      2

      89

      DOWN COILER

      44640

      333

      8

      42

      Jun-15

      Equipment

      Available time

      Delay

      Frequency of failure

      MTTR

      RHF

      43200

      328

      4

      82

      DESCALAR

      43200

      125

      2

      63

      EN SMCF

      43200

      48

      1

      48

      DOWN COILER

      43200

      43

      1

      43

      Aug-15

      Equipment

      Available time

      Delay

      Frequency of failure

      MTTR

      RHF

      44640

      DESCALAR

      44640

      437

      3

      146

      EN SMCF

      44640

      225

      3

      75

      DOWN COILER

      44640

      594

      4

      149

      Sep-15

      Equipment

      Available time

      Delay

      Frequency of failure

      MTTR

      RHF

      43200

      30

      1

      30

      DESCALAR

      43200

      EN SMCF

      43200

      DOWN COILER

      43200

      202

      3

      67

      Oct-15

      Equipment

      Available time

      Delay

      Frequency of failure

      MTTR

      RHF

      44640

      53

      1

      53

      DESCALAR

      44640

      47

      1

      47

      EN SMCF

      44640

      DOWN COILER

      44640

      203

      4

      51

      Nov-15

      Equipment

      Available time

      Delay

      Frequency of failure

      MTTR

      RHF

      43200

      107

      2

      54

      DESCALAR

      43200

      63

      1

      63

      EN SMCF

      43200

      123

      2

      62

      DOWN COILER

      43200

      120

      1

      120

      Dec-15

      Equipment

      Available time

      Delay

      Frequency of failure

      MTTR

      RHF

      44640

      338

      7

      48

      DESCALAR

      44640

      EN SMCF

      44640

      221

      2

      111

      DOWN COILER

      44640

      871

      10

      87

      Table 3 Month wise & equipment wise delay

      And from above components downcoiler is the most critical component we found in pont of view of maintenance.

      DOWNCOILER DELAY

      Month

      Available Time

      Delay

      Delay (Freq)

      MTTR

      MAY.15

      44640

      333

      8

      42

      JUN.15

      43200

      43

      1

      43

      JUL.15

      44640

      1637

      17

      96

      AUG.15

      44640

      594

      4

      149

      SEP.15

      43200

      202

      3

      67

      OCT.15

      44640

      203

      4

      51

      NOV.15

      43200

      120

      1

      120

      DEC.15

      44640

      871

      10

      87

      Jul-15

      Equipment

      Available time

      Delay

      Frequency of failure

      MTTR

      RHF

      44640

      540

      8

      68

      DESCALAR

      44640

      EN SMCF

      44640

      100

      1

      100

      DOWN COILER

      44640

      1637

      17

      96

      Table 4 Month wise Downcoiler delay data

      Down coiler consists following parts:

      • Top Pinch roll & Bottom Pinch roll

      • Wrapper rolls

      • Wrapper Arms

      • Hydraulic system and water piping

      • Downcoiler Side guides

      • Mandrel

      • Strapping machine

  5. RESULTS AND FUTURE SCOPE

In present study From analysis, we have seen that downcoiler is the most critical component. So now with the help of this analysis we have to do Failure Mode and Effect Criticality Analysis (FMECA) to identify critical parts in Downcoiler and prioritize them with the help of CAD tool so that we can prioritize each preventive action according to part for particular causes of failure.

REFERENCES

  1. DuyQuang Nguyen and Miguel Bagajewicz Optimization of Preventive Maintenance Scheduling in Processing Plants (2008) Elsevier B.V./Ltd. .

  2. T. Sahoo, P.K.Sarkar, A.K.Sarkar Maintenance Optimization for Critical Equipments in process industries based on FMECA Method(2014) IJEIT.

  3. Mahesh Pophaley, Ram Krishna Vyas Plant maintenance management practices in automobile industries (2010) International Institute of Professional Studies.

  4. Godwin Barnabas, Maran , Nixon and Ambrose Edward Maintenance cost optimization for the process Industry. (2012) IJMERR.

  5. J. Ashayeri, A. Teelen, W. Selen A Production And Maintenance Planning Model for the Process Industry(1995).

  6. M. S. Samhouri , A. Al-Ghandoor, R. H. Fouad, and S. M. Alhaj Ali An Intelligent Opportunistic Maintenance (OM) System: A Genetic Algorithm Approach IJISE(2009).

  7. www.sciencedirect.com

  8. www.nptel.iitm.ac.in

  9. www.wekipedia.com

  10. Maintenance engineering book by Sushil Kumar Srivastava

  11. Maintenance fundamentals by R Keith Mobley

Leave a Reply

Your email address will not be published. Required fields are marked *