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Improved profitability by re-organising mill supply: A decision support approach [Poster]

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Academic year: 2021

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Managing mill supply in the sugar industry : a co-ordination issue between numerous stakeholders

A decision support system based on the modelling of cane flows and a simulation tool: MAGI

Assessing the potential impact of quality-based delivery allocations on sugar production at the mill area level

The result feed back the discussion between growers and millers about the scenario feasability and new issues to be adressed

SASEX Contacts :

C. Lejars, CIRAD CA PY Legal CIRAD TERA, P. Lyne SASEX LG Soler, INRA ESR S.Auzoux, CIRAD CA

How to share the potential sugar value between growers and millers?

♦ Selection of a relevant cane payment system ♦ Assessment of cane quality along the supply chain ♦ Control of production costs from fields to the mill

How to organize mill supply?

♦ Choice of mill opening and closure dates ♦ Rules of delivery allocation amongst growers

Definition of homogeneous

quality sub-areas Design of new delivery allocation patterns

♦ Agricultural impacts : cane yields, infestation of stem borer

♦ Harvest organization at farm level : outsourcing, impact on labour force ♦ Transport organization : logistic, optimisation of fleet size

♦ Evolution of cane payment systems

Simulation and comparison of total sugar production

IMPROVED PROFITABILITY BY

RE-ORGANISING SUGARCANE SUPPLY:

A DECISION SUPPORT APPROACH

1 1 % 1 2 % 1 3 % 1 4 % 1 5 % %1 1 % 1 2 % 1 3 % 1 4 % 1 5 % % 0 5000 10000 15000 20000 25000 30000 35000 40000 45000 weeks 0 (diversion) 1 (coastal) 2 (hinterland) 3 (inland) 4 (SSG) PU Characteristics:

Cane area; Cane yield; Harvest capacities

TC Characteristics:

Transfer capacities Step (1)

Step (2)

Amount of sugar produced weekly and annually

Planning and operation rules

Delivery allocation Latest closing date Hazard management rules Agro-industrial structure

Name and location of Production Units (PU) Name of Transloading Centres (TC) Links between PU and TC (structure of cane flows)

Mill Characteristics:

Hourly crushing capacity; Working days per week; Maintenance duration Breakdown rate

Length of Milling Season Opening and closing dates Delivery scheduling

Weekly quality curve / PU Weekly delivery / PU

Weekly mill process efficiency Cane fields

Loading zone Loading zone

Mill Mill yard Cutting Loading Haulage Haulage Weighing Unloading Storage Sampling Crushing Millers Growers Contractors Cane fields Cane

fields fieldsCane Cane fields Hauliers 8374 7569 10986 5530 9489 7497 8774 4709 9887 3005 0 2000 4000 6000 8000 10000 12000 A B C D E scenarios

extra RV tonnes produced as compared t

o

the reference scenario

2000 2001

1 to 5% gain compared with the benchmark scenario

A simulation tool The

conceptual framework

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