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Flexible Services and Manufacturing Journal

, Volume 23, Issue 2, pp 181–206 | Cite as

A job-shop scheduling approach for optimising sugarcane rail operations

  • Mahmoud Masoud
  • Erhan Kozan
  • Geoff Kent
Article

Abstract

The sugarcane transport system is very complex and uses a daily schedule, consisting of a set of locomotives runs, to satisfy the requirements of the mill and harvesters. The total cost of sugarcane transport operations is very high; over 35% of the total cost of sugarcane production in Australia is incurred in cane transport. Producing efficient schedules for sugarcane transport can reduce the cost and limit the negative effects that this system can have on the raw sugar production system. In this paper, the sugarcane rail operations are formulated as a blocking job shop scheduling problem. A mixed integer programming approach is used to formulate the shop job scheduling problem. Mixed integer programming and constraint programming search techniques are integrated for solving the problem. A case study is solved to test the approach.

Keywords

Integer programming Constraint programming Sugarcane rail Job shop 

List of symbols

\( K \)

Maximum number of locomotive

\( k,k^{\prime } \)

Index of locomotives; \( k = 1,2, \ldots K,\,k^{\prime } = 1,2, \ldots K \)

E

Maximum number of segments

e

Index of the segments; \( e = 1, \ldots E \)

S

Total number of sections for all segments

s

Index of sections

\( s_{e} \)

Index of section s on segment e

\( o,o^{\prime } \)

Index of operations; \( o = 1,2, \ldots O\,{\text{and}}\,o^{\prime } = 1,2, \ldots O \)

R

Maximum number of locomotives runs

r, r′

Index of runs of each locomotive; \( r = 1,2,3, \ldots ,R;\,r^{\prime } = 1,2,3, \ldots ,R \)

\( t_{{k_{r} os_{e} }} \)

Start time of locomotive k in run r for operation o on section s on segment e

\( \eta_{k} \)

Ready time for all locomotives where all trains are at mill and ready to move

\( g_{{kos_{e} }} \)

Processing time of operation o of locomotive k on section s on segment e

\( V \)

A big positive number

\( B_{{k_{r} os_{e} }} \)

Number of full bins collected from siding s by locomotive k during operation o and run r on segment e

\( \alpha_{{k_{r} os_{e} }} \)

Number of empty bins delivered for siding s by locomotive k during operation o and run r on segment e

\( A_{{s_{e} }} \)

Total allotment of siding s per day

\( p_{k} \)

Capacity of locomotive k of empty bins

\( f_{k} \)

Capacity of locomotive k of full bins

\( C_{{s_{e} }} \)

Siding capacity

\( C_{\max } \)

Makespan

\( X_{{k_{r} s_{e} }} \)

\( {\text{ = }}\left\{ \begin{gathered}{\text{1,}}\quad{\text{if}}\,{\text{locomotive}}\,k\,{\text{assigned}}\,{\text{to}}\,{\text{section}}\,s\,{\text{on}}\,{\text{segment}}\,e\,{\text{during}}\,{\text{run}}\,r.\hfill \\ {\text{0,}}\quad {\text{otherwise}}{\text{.}} \hfill\\\end{gathered} \right. \)

\( Z_{{k_{r} k^{\prime}_{{r^{\prime}}} s_{e} }} \)

\( {\text{ = }}\left\{ \begin{gathered} {\text{1,}}\quad k\,{\text{and}}\,n\,{\text{are}}\,{\text{processed}}\,{\text{on}}\,{\text{section}}\,s\,{\text{on}}\,{\text{segment}}\,e \hfill \\ {\text{during}}\,{\text{run}}\,r\,{\text{and}}\,r^{\prime} \,{\text{respectively,}}\,{\text{and}}\,{\text{locomotive}}\,k\,precedes\,{\text{locomotive}}\,k^{\prime} {\text{.}} \hfill \\ {\text{0,}}\quad {\text{otherwise}}{\text{.}} \hfill \\ \end{gathered} \right. \)

\( \beta_{{k_{r} s_{e} s_{{e^{\prime } }}^{{^{\prime } }} }} \)

\( {\text{ = }}\left\{ \begin{gathered} {\text{1,}}\quad \,{\text{locomotive}}\,k\,{\text{uses}}\,{\text{segment}}\,e\,{\text{before segment}}\,e^{\prime} \,{\text{during}}\,{\text{run}}\,r. \hfill \\ {\text{0,}}\quad {\text{otherwise}}{\text{.}} \hfill \\ \end{gathered} \right. \)

\( \mu_{{k_{{rr^{\prime } }} }} \)

\( {\text{ = }}\left\{ \begin{gathered} 1,\quad {\text{if}}\,{\text{run}}\,r\,{\text{is}}\,{\text{assigned}}\,{\text{for}}\,{\text{locomotive}}\,k\,{\text{before}}\,{\text{run}}\,r^{\prime} {\text{.}} \hfill \\ {\text{0,}}\quad {\text{otherwise}}{\text{.}} \hfill \\ \end{gathered} \right. \)

\( \lambda_{{k_{r} }} \, \)

\({\text{ = }}\left\{ \begin{gathered} 1,\quad {\text{if}}\,{\text{run}}\,r\,{\text{is}}\,{\text{assigned}}\,{\text{for}}\,{\text{locomotive}}\,k{\text{.}} \hfill \\ {\text{0,}}\quad {\text{otherwise}}{\text{.}} \hfill \\ \end{gathered} \right. \)

\( q_{{k_{r} os_{e} }} \)

\( = \left\{ \begin{gathered} 1,\quad {\text{if}}\,{\text{the}}\,{\text{operation}}\,o\,{\text{of}}\,{\text{locomotive}}\,k\,{\text{requires}}\,{\text{section}}\,s\,{\text{during}}\,{\text{run}}\,r\,{\text{on}}\,{\text{segment}}\,e{\text{.}} \hfill \\ {\text{0,}}\quad {\text{otherwise}}{\text{.}} \hfill \\ \end{gathered} \right. \)

\( b_{{k_{r} k^{\prime } os_{e} }} \)

\( {\text{ = }}\left\{ \begin{gathered} 1,\quad {\text{if}}\,{\text{locomotive}}\,k^{\prime} \,{\text{requires}}\,{\text{section}}\,s\,{\text{on}}\,{\text{segment}}\,e{\text{,}}\,{\text{but}}\,{\text{operation}}\,o\,{\text{of}}\,{\text{locomotive}} \, k\,{\text{scheduled}}\,{\text{at}}\,{\text{the}}\,{\text{same}}\,{\text{section}}\,{\text{during}}\,{\text{run}}\,r\,{\text{on}}\,{\text{the}}\,{\text{same}}\,{\text{segment}}{\text{.}} \hfill \\ {\text{0,}}\quad {\text{otherwise}}{\text{.}} \hfill \\ \end{gathered} \right. \)

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Mathematical SciencesQueensland University of TechnologyBrisbaneAustralia
  2. 2.Sugar Research & Innovation, Centre for Tropical Crops and BiocommoditiesQueensland University of TechnologyBrisbaneAustralia

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