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Abstract

This chapter presents a mixed integer linear programming developed to support operational decision making in the transport planning for a fruit logistic centre (FLC). The FLC is part of a fruit supply chain. Associated cooperatives store and supply fruits on demand to fulfil orders received at the logistic centre. The model mitigates the cost of manually managing the planning of trips to transfer fruits from storages at cooperatives to the logistic centre and avoiding idle times in the packaging lines. This is done determining the number of trips to do by available trucks and the load they have to carry to the logistic centre. The model is tested on a real case represented by an important Spanish cooperative during the winter season as a prior test to the more complex. In view of results, the model is ready to be integrated into the ERP of the logistic centre and extended to deal with the more complex case presented during harvest season.

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References

  • Ahumada O, Rene Villalobos J (2009) Application of planning models in the agri-food supply chain: a review. Eur J Oper Res 195:1–20

    Article  Google Scholar 

  • Blanco AM, Masini G, Petracci N, Bandoni JA (2005) Operations management of a packaging plant in the fruit industry. J Food Eng 70:299–307

    Article  Google Scholar 

  • Broekmeulen R (1998) Operations management of distribution centers for vegetables and fruits. Int Trans Oper Res 5(6):501–508

    Article  Google Scholar 

  • Catalá LP, Durand GA, Blanco AM, Bandoni JA (2013) Mathematical model for strategic planning optimization in the pome fruit industry. Agric Syst 115:63–71

    Article  Google Scholar 

  • EuroStat (2013) http://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do. Accessed 15 Mar 2013

  • FAOStat (2013) http://faostat.fao.org/site/339/default.aspx. Accessed 15 Mar 2013

  • Hester S, Cacho OJ (2003) Modelling apple orchard systems. Agric Syst 77:137–154

    Article  Google Scholar 

  • Hsiao HI, Kemp RGM, van der Vorst JGAJ, Omta SWF (2010) A classification of logistic outsourcing levels and their impact on service performance: evidence from the food processing industry. Int J Prod Econ 124:75–86

    Article  Google Scholar 

  • Manzini R, Accorsi R (2013) The new conceptual framework for food supply chain assessment. J Food Eng 115:251–263

    Article  Google Scholar 

  • Mula J, Poler R, García-Sabater JP, Lario FC (2006) Models for production planning under uncertainty: a review. Int J Prod Econ 103:271–285

    Article  Google Scholar 

  • Mula J, Peidro D, Díaz-Madroñero M, Vicens E (2010) Mathematical programming models for supply chain production and transport planning. Eur J Oper Res 204:377–390

    Article  Google Scholar 

  • Rong A, Akkerman R, Grunow M (2011) An optimization approach for managing fresh food quality throughout the supply chain. Int J Prod Econ 131:421–429

    Article  Google Scholar 

  • Trienekens JH, Wognuma PM, Beulens AJM, van der Vorst JGAJ (2012) Transparency in complex dynamic food supply chains. Adv Eng Inform 26:55–65

    Article  Google Scholar 

  • Van Goor AR, Amstel MJPV, Amstel WPV (2003) European distribution and supply chain logistics. Wolters-Nordhoff, Groningen

    Google Scholar 

  • Verdouw CN, Beulens AJM, Trienekens JH, Wolfert J (2010) Process modelling in demand-driven supply chains: a reference model for the fruit industry. Comput Electron Agric 73:174–187

    Article  Google Scholar 

Download references

Acknowledgement

The authors acknowledge the financial support of the Spanish Research Program (AGL2010-20820 and MTM2009-14087-C04-01).

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Corresponding author

Correspondence to Lluís M. Plà-Aragonés .

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Appendices

Appendix 1: Distance Between Cooperatives and the FLC

Coop code

FLC distance

Transportation time (h)

1

36

4.20

2

12

1.40

3

10

1.33

4

28

2.93

5

28

3.93

6

38

3.27

7

35

4.17

8

48

3.60

9

30

3.00

10

26

1.87

11

17

2.57

12

13

2.43

13

27

3.90

14

8

2.27

15

50

2.67

16

35

2.17

17

10

1.33

18

48

4.60

19

22

3.73

20

42

3.40

21

27

3.90

22

0

0.00

23

5

2.17

24

30

4.00

25

30

3.00

26

24

2.80

27

42

4.40

28

40

3.33

29

8

2

Appendix 2: Stock per Cooperative, Variety and Category (in ton)

Coop code

Variety

Category

Total

101

104

108

201

202

215

218

220

2

Conference

1,409

0

0

0

0

0

0

0

1,409

2

Alexandrine

66

2

0

0

17

0

0

0

85

3

Blaquilla

209

0

0

0

0

16

0

0

225

3

Conference

1,102

55

0

0

0

146

0

0

1,303

3

Alexandrine

102

0

0

0

0

43

0

0

145

3

Red Delicious

127

40

0

0

0

0

0

0

167

3

Golden

611

0

0

0

0

69

0

0

680

5

Golden

178

47

0

0

0

0

0

0

225

6

Conference

785

0

0

0

0

0

0

0

785

6

Alexandrine

134

0

0

0

0

0

0

0

134

6

Golden

997

0

0

0

0

0

0

0

997

11

Conference

194

0

0

0

0

0

0

0

194

11

Golden

341

0

0

0

0

0

0

0

341

12

Conference

542

0

0

0

0

0

0

0

542

12

Golden

493

0

0

0

0

0

0

0

493

14

Blaquilla

131

8

0

0

0

0

0

0

139

14

Conference

481

30

0

0

0

0

0

0

511

14

Golden

237

0

0

0

0

0

0

0

237

17

Blaquilla

180

0

0

0

0

0

0

0

180

17

Conference

1,750

0

0

0

0

0

0

0

1,750

17

Golden

1,750

0

0

0

0

0

0

0

1,750

21

Blaquilla

149

11

0

0

0

0

0

0

160

21

Conference

261

0

0

0

0

0

0

0

261

21

Golden

489

0

0

0

0

0

0

0

489

23

Conference

684

0

0

0

0

16

0

0

700

23

Golden

653

71

0

2

0

0

0

0

726

24

Conference

343

63

0

0

0

0

0

0

406

24

Golden

520

0

0

0

0

0

0

0

520

25

Conference

220

0

0

0

0

0

0

0

220

25

Golden

353

47

0

0

0

0

0

0

400

26

Golden

261

0

0

0

0

0

0

0

261

28

Golden

291

5

0

0

0

0

0

0

296

29

Blaquilla

353

78

0

0

0

0

0

0

431

29

Conference

225

0

0

0

0

0

0

131

356

29

Golden

290

0

0

0

0

0

0

0

290

Appendix 3: Demand (in ton) and Minimum Stock in the FLC (in kg)

Variety

Minimum stock per category

Demand

101

104

108

201

202

215

218

220

Blaquilla

240

60

      

50

Conference

400

100

      

50

Alexandrine

80

20

      

0

Red Delicious

        

0

Golden

320

80

      

68

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Nadal-Roig, E., Plà-Aragonés, L.M. (2015). Optimal Transport Planning for the Supply to a Fruit Logistic Centre. In: Plà-Aragonés, L. (eds) Handbook of Operations Research in Agriculture and the Agri-Food Industry. International Series in Operations Research & Management Science, vol 224. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2483-7_7

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