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Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series

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OPTIMIZING THE OUTPUT OF PRODUCT BATCHES AND INTENSITY OF THEIR MANUFACTURE UNDER RANDOM DEMAND

Abstract

The problem of optimizing the output of multi-product batch and the intensities of its items manufacture in the production line over a number of time intervals is considered. The line has a linearly ordered multiple positions without buffers. Workpieces of the input sequence composed of cyclically repeated identical subsequences (batches) are processed consecutively one by one in each working position in the order of their location in the line. Only a single workpiece is disposed in each position at each time point. The operation of the line consists of takts of simultaneous processing of all workpieces located in respective positions by the sets of tools corresponding to workpieces and positions. The composition of a batch does not vary from interval to interval. The ranges of possible demand quantities for each product and the probability distribution of the demand in these ranges are assumed known for each time interval. The sum of manufacturing cost, costs of storage and/or penalties for unmet demand on products is used as objective function. Manufacturing cost depends on processing intensities to be defined and increases with an increase in the number of batches produced in the current interval. Storage cost of unclaimed product units as well as penalty for product units not supplied to the customer do not decrease with the increase of number of such units. A two-level decomposition method for solving the problem based on the ideas of multi-step optimization is proposed.

About the Authors

G. M. Levin
United Institute of Informatics Problems of the National Academy of Sciences of Belarus
Belarus
D. Sc. (Engineering), Principle Researcher of the Operational Research Laboratory


B. M. Rozin
United Institute of Informatics Problems of the National Academy of Sciences of Belarus
Belarus
Ph. D. (Engineering), Leading Researcher of the Operational Research Laboratory


References

1. Karimi B., Fatemi Ghomi S., Wilson J. M. The capacitated lot sizing problem: a review of models and algorithms. Omega, 2003, vol. 31, no. 5, pp. 365–378. Doi: 10.1016/s0305-0483(03)00059-8

2. Ullah H., Parveen S. A Literature Review on Inventory Lot Sizing Problems. Global Journal of Researches in Engineering, 2010, vol. 10, no. 5, pp. 21–36.

3. Jans R., Degraeve Z. Modeling industrial lot sizing problems: a review. International Journal of Production Research, 2008, vol. 46, no. 6, pp. 1619–1643. Doi: 10.1080/00207540600902262

4. Ng C. T., Kovalyov M. Y., Cheng T. C. E. A simple FPTAS for a single-item capacitated economic lot-sizing problem with monotone cost structure. European Journal of Operational Research, 2010, vol. 200, no. 2, pp. 621–624. Doi: 10.1016/j. ejor.2009.01.040

5. Levin G. M., Rozin B. M., Dolgui A. B. Optimizing the output and the intensities of processing a batch of parts under non-stationary demand. Vestsi Natsyanal’nai akademii navuk Belarusi. Seryia fisika¬matematychnykh navuk [Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series], 2016, no. 3, pp. 102–109 (in Russian).

6. Brandimarte P. Multi-item capacitated lot-sizing with demand uncertainty. International Journal of Production Research, 2006, vol. 44, no. 15, pp. 2997–3022. Doi: 10.1080/00207540500435116

7. Lee S.-D., Yang C.-M., Lan S.-C. Economic lot sizing in a production system with random demand. International Journal of Systems Science, 2014, vol. 47, no. 5, pp. 1142–1154. Doi: 10.1080/00207721.2014.915354

8. Tempelmeier H., Herpers S. ABCβ - a heuristic for dynamic capacitated lot sizing with random demand under a fillrate constraint. International Journal of Production Research, 2010, vol. 48, no. 17, pp. 5181–5193. Doi: 10.1080/00207540903179782

9. Maes J., Van Wassenhove L. N. Multi Item Single Level Capacitated Dynamic Lotsizing Heuristics: A Computational Comparison (Part II: Rolling Horizon). IIE Transactions, 1986, vol. 18, no. 2, pp. 124–129. Doi: 10.1080/07408178608975339

10. Gnedenko B. V. Probability theory course. Мoscow, Editorial URSS Publ., 2005. 448 p. (in Russian).

11. Levin G., Tanaev V. Decomposition techniques for optimization of design decisions. Minsk, Nauka i Technika Publ., 1978. 240 p. (in Russian).

12. Levin G. M., Rozin B. M., Dolgui A. B. Linear approximation for intensities optimization problem of sequential-parallel execution of intersecting operation sets. Informatika [Informatics], 2014, no. 3, pp. 44–51. (in Russian).


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ISSN 1561-2430 (Print)
ISSN 2524-2415 (Online)