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Financial Pinch Analysis: Minimum opportunity cost targeting algorithm.

Pritam Sankar Roychaudhuri1, Santanu Bandyopadhyay1

  • 1Department of Energy Science and Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.

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|February 12, 2018
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Summary

A new algorithm, minimum opportunity cost targeting algorithm (MOCTA), aids capital budgeting for environmental projects. It uses Pinch Analysis principles to optimize funding decisions for sustainable business practices.

Keywords:
Branch and bound techniqueCapital budgetingMinimum opportunity cost targeting algorithmPinch AnalysisProject selection problem

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Area of Science:

  • Environmental Management
  • Operations Research
  • Industrial Sustainability

Background:

  • Firms invest in environmental projects for market competitiveness and sustainability.
  • Capital budgeting involves selecting projects under funding constraints.
  • Optimizing environmental project selection is crucial for sustainable operations.

Purpose of the Study:

  • To propose a novel algorithm for capital budgeting problems in environmental management.
  • To address the selection of environmental management projects considering funding constraints.
  • To develop a methodology for optimizing investment in sustainable business practices.

Main Methods:

  • Introduction of the minimum opportunity cost targeting algorithm (MOCTA).
  • Application of Pinch Analysis principles for resource conservation and project selection.
  • Integration with branch and bound technique for mixed integer linear programming (MILP) problems.

Main Results:

  • MOCTA effectively addresses capital budgeting for environmental projects.
  • The algorithm is applicable to partially acceptable projects as a linear programming problem.
  • The methodology successfully solves MILP formulations for complete project acceptance/rejection.

Conclusions:

  • The proposed MOCTA, combined with branch and bound, offers an effective solution for environmental project capital budgeting.
  • The methodology demonstrated applicability through a hypothetical example and a case study in the Indian Paper and Pulp industry.
  • This approach supports firms in achieving market competitiveness and sustainable development through optimized project selection.