|

Implementing Production of Seasonal Demand Goods at Industrial Enterprises

Authors: Aleksandrov An.A. Published: 06.06.2020
Published in issue: #3(132)/2020  

DOI: 10.18698/0236-3941-2020-3-47-61

 
Category: Mechanical Engineering and Machine Science | Chapter: Product Quality Management. Standardization. Organization of Production  
Keywords: production plan, seasonal demand, core production capacity, optimum production capacity, production expenditure minimisation

The paper states an industrial engineering problem concerning industrial enterprises manufacturing goods for seasonal industries and activities. We developed a method for selecting optimum enterprise production capacity and forming a production plan that allows for meeting seasonal increases in demand, simultaneously ensuring rational utilisation of human resources, manufacturing equipment and storage facilities. The basis of the method is seeking the production volume function by minimising total expenditures for storage and manufacturing of goods, provided the seasonal demand is fully met over the whole period. We present a numerical implementation algorithm for our method and a calculation example. The main stages of the algorithm are as follows: setting the demand function; computing the core production capacity as dictated by steady equipment utilisation; varying the production plan until the minimum total expenditure condition is met. We ran a series of simulations that allowed us to establish the function describing the optimum production capacity as a fraction of the core capacity for various ratios of manufacturing expenditures to storage expenditures, and as a function of the overpayment rate for additional capacities

References

[1] Savitskaya G.V. Kompleksnyy analiz khozyaystvennoy deyatel’nosti predpriyatiya [Complex analysis of the company’s economic activity]. Moscow, Infra-M Publ., 2016.

[2] Kirikova Yu.N. [Seasonality and seasonal smoothing in business]. Mat. nauch. konf. s mezhdunar. uchast. "Nedelya nauki SPbPU" [Proc. Sc. Conf. with Int. Participation "SPbPU Science Week"]. St. Petersburg, Politekh-press Publ., 2018, pp. 194--196.

[3] Malenko O.I. [Improving enterprise efficiency during seasonal demand recession for services]. Mat. V Mezhdunar. nauch.-prakt. konf. "Nauka i obrazovanie: problemy i perspektivy" [Proc. V. Int. Sc.-Pract. Conf. "Science and Education: Problems and Prospects"]. Moscow, Pero Publ., 2016, pp. 50--53 (in Russ.).

[4] Zakharov M.N., Kolobov A.A., ed. Kontrol’ i minimizatsiya zatrat predpriyatiya v sisteme logistiki [Control and minimization of enterprise expenses in logistics system]. Moscow, Ekzamen Publ., 2006.

[5] Rodriguez M.A., Vecchietti A. Inventory and delivery optimization under seasonal demand in the supply chain. Comput. Chem. Eng., 2010, vol. 34, no. 10, pp. 1705--1718. DOI: https://doi.org/10.1016/j.compchemeng.2010.02.009

[6] Sakulsom N., Tharmmaphornphilas W. Heuristics for a periodic-review policy in a two-echelon inventory problem with seasonal demand. Comput. Ind. Eng., 2019, vol. 133, pp. 292--302. DOI: https://doi.org/10.1016/j.cie.2019.05.017

[7] Banerjee S., Sharma A. Optimal procurement and pricing policies for inventory models with price and time dependent seasonal demand. Math. Comput. Model., 2010, vol. 51, no. 5-6, pp. 700--714. DOI: https://doi.org/10.1016/j.mcm.2009.10.022

[8] Karpov K.A. Tekhnologicheskoe prognozirovanie razvitiya proizvodstv neftegazokhimicheskogo kompleksa [Technological forecasting of oil and gas industry development]. St. Petersburg, Lan Publ., 2017.

[9] Zakharov M.N., Omelchenko I.N., Sarkisov A.S. Situatsii inzhenerno-ekonomicheskogo analiza [Cases of economic-engineering analysis]. Moscow, Bauman MSTU Publ., 2014.

[10] Vasilieva E.O. Management of stocks at the enterprise rational with changing conditions of design documentation constantly. IX International scientific review of the technical sciences, mathematics and computer science. Boston, Problems of Science, 2019, pp. 66--73.

[11] Omelchenko I.N., Borisova E.V. Financial-and-economical stability as a component of the plant managerial-and-economical steadiness. Vestnik mashinostroeniya, 2007, no. 4, pp. 63--74 (in Russ.).

[12] Sarkisov A.S. Finansovaya matematika i metody prinyatiya resheniy v neftegazovoy promyshlennosti [Financial mathematics and decision-making technique in oil and gas industry]. Moscow, Neft’ i gaz Publ., 2002.

[13] Zakharov M.N., Tretyakova V.A. Effectiveness criteria of production processes of an industrial enterprise. Vestnik mashinostroeniya, 2013, no. 10, pp. 78--80 (in Russ.).

[14] Gasnikov A.V. Sovremennye chislennye metody optimizatsii. Metod universal’nogo gradientnogo spuska [Modern numerical optimization methods. Universal gradient descent method]. Moscow, MIPT Publ., 2018.

[15] Karpenko A.P. Sovremennye algoritmy poiskovoy optimizatsii. Algoritmy, vdokhnovlennye prirodoy [Modern search optimization algorithms. Algorithms inspired by nature]. Moscow, Bauman MSTU Publ., 2014.