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Environmentally conscious recycling planning: Strategies and its optimal analysis

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  1. Abstract
  2. Introduction
  3. The nature of recycling planning
  4. Environmentally conscious recycling planning
  5. Developing recycling conscious plans
  6. Formulating the objective function
  7. Optimal solution procedure
    1. Optimal analysis
  8. Computational study
  9. Conclusions
  10. References

This paper describes a stochastic production planning problem for an environmentally conscious recycling technique to adequately cope with unpredictable recovery rate of end-of-life products towards a more sustainable pattern of production. The model is formulated as a nonlinear integer programming (NIP), which contains two types of nonlinear programming problems: determining (1) the production quantities of end-product and (2) component parts machining in a finite planning horizon with both the stochastic demand rate of end-product and recovery rate of end-of-use product. This decision problem is solved so as to minimize the sum of production costs, inventory holding costs, and backorder costs subject to the capacity constraints, the stochastic demand requirement, and desired component part quantity determining from the end-product scheduling. The Lagrangean relaxation technique is introduced to solve the NIP by developing the two-step hybrid procedure. Finally, a numerical example is demonstrated to explain the effectiveness of optimal solution procedures.

[...] Table 3 shows computational results along with optimal solution procedures. Table 1 Basic data for computational study Table 2 Stochastic demand rate and recovery rate Table 3 Computational results 8. Conclusions This paper describes a stochastic production planning problem for an environmentally conscious recycling technique to adequately cope with unpredictable recovery rate of end-of-life products towards a more sustainable pattern of production. The Lagrangean relaxation technique is introduced to solve the decision problem by developing the two-step hybrid procedure. Finally, a numerical example is [...]


[...] Optimal Solution Procedure The essentials of recycling conscious planning described above is the development of a integrated two types of decision-making problem for a stochastic recovery rate of end-of-use products. The one is recycling planning for determining the production quantity of parts or unit, that should be satisfied forecast demand rate of products. The other decision-making is to determine the production quantity of end-product subject to quantities of part and unit to be produced. This paper develops an optimal solution procedure as two-step hybrid algorithm associated with effective Lagrangean relaxation techniques. [...]

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