scholarly journals Simulation scheduling in food industry application

2011 ◽  
Vol 20 (No. 1) ◽  
pp. 31-37 ◽  
Author(s):  
S. Simeonov ◽  
J. Simeonovová

Nowadays manufacturers are facing rapid and fundamental changes in the ways business is done. Producers are looking for simulation systems increasing throughput and profit, reducing cycle time, improving due-date performance, reducing WIP, providing plant-wide synchronization, etc. Planning and scheduling of coffee production is important for the manufacturer to synchronize production capacity and material inputs to meet the delivery date promised to the customer. A simulation model of coffee production was compiled. It includes roasting, grinding and packaging processes. Using this model the basic features of the coffee production system are obtained. An optimization module of the simulation SW is used for improving the current structure of the production system. Gantt charts and reports are applied for scheduling. Capacity planning problems related to coffee production are discussed.  

Author(s):  
Dušan Malindžák ◽  
Peter Kacmary

Each company is original from the point of production processes. Application of standard enterprise information system (SAP, proAlpha, Baan, etc.) need difficult adaptation, especially for conditions of small or medium enterprises (SMEs) and the price of that system is relatively high. Therefore, the proposed capacity planning model is much more suitable for the conditions, requires and demands of SMEs. Specifics of production processes of RS Ltd. are: - combinations of discrete and continuous processes, - this small company is connected to a supply chain (KANBAN) with its mother company, which defines the level of some chosen products in the expedition warehouse by the end of a month. For the above mentioned reason it had to be designed the new original production logistic system.


2021 ◽  
Vol 13 (12) ◽  
pp. 6921
Author(s):  
Laura Sisti ◽  
Annamaria Celli ◽  
Grazia Totaro ◽  
Patrizia Cinelli ◽  
Francesca Signori ◽  
...  

In recent years, the circular economy and sustainability have gained attention in the food industry aimed at recycling food industrial waste and residues. For example, several plant-based materials are nowadays used in packaging and biofuel production. Among them, by-products and waste from coffee processing constitute a largely available, low cost, good quality resource. Coffee production includes many steps, in which by-products are generated including coffee pulp, coffee husks, silver skin and spent coffee. This review aims to analyze the reasons why coffee waste can be considered as a valuable source in recycling strategies for the sustainable production of bio-based chemicals, materials and fuels. It addresses the most recent advances in monomer, polymer and plastic filler productions and applications based on the development of viable biorefinery technologies. The exploration of strategies to unlock the potential of this biomass for fuel productions is also revised. Coffee by-products valorization is a clear example of waste biorefinery. Future applications in areas such as biomedicine, food packaging and material technology should be taken into consideration. However, further efforts in techno-economic analysis and the assessment of the feasibility of valorization processes on an industrial scale are needed.


2014 ◽  
Vol 1036 ◽  
pp. 864-868 ◽  
Author(s):  
Marcin Zemczak ◽  
Damian Krenczyk

The paper presents the task scheduling issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature sources, the presented sequencing problem, denoted as CSP (Car Sequencing Problem) belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem. Optimal method of solution has not yet been found, only approximate solutions have been offered, especially from the range of evolutionary algorithms. Regardless of specific production system, while considering reception of new tasks into the system, current review of the state of the system is required in order to decide whether and when a new order can be accepted for execution. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence. Through the use of computational algorithms, and automatic analysis of the resulting sequence, rates of production are able to be checked in a real time, and so improvements can be proposed and implemented.


1989 ◽  
Vol 5 (03) ◽  
pp. 188-199
Author(s):  
Paul C. Powell ◽  
Charles I. Zigelman

This paper describes how a formal manufacturing environment, as defined by the American Production and Inventory Control Society (APICS), compares with modern shipbuilding techniques. Formal manufacturing, through a product-based build strategy, provides a framework for integrating contract scheduling, design development, material purchasing, inventory control, production capacity planning, and production control. An understanding of formal manufacturing provides a foundation for understanding modern shipbuilding techniques.


1998 ◽  
Vol 08 (07) ◽  
pp. 1251-1276 ◽  
Author(s):  
SURESH P. SETHI ◽  
HANQIN ZHANG ◽  
QING ZHANG

Recently, the production control problem in stochastic manufacturing systems has generated a great deal of interest. The goal is to obtain production rates to minimize total expected surplus and production cost. This paper reviews the research devoted to minimum average cost production planning problems in stochastic manufacturing systems. Manufacturing systems involve a single or parallel failure-prone machines producing a number of different products, random production capacity, and constant demands.


2018 ◽  
Vol 8 (2) ◽  
pp. 91
Author(s):  
Iksan Iksan

Production capacity planning this company have obstacle in meeting its production target, then company oftentimes unable to fulfill consumer demands. It can be inflict the company loose. The problems is how planning production capacity based on Rough Cut Capacity Planning (RCCP) Method in order to make consumers demand be able to supplied? “ The researcher attempt to resolving problem in PT Muncul Abadi by aiming calculate product capacity plan based on Rough Cut Capacity Planning Method and determine required product. To be useful as consideration for the company in planning production. Forecast done within the coming one year term. Capacity planning base on Rough Cut Capacity Planning (RCCP) Method. From forecast result toward previous demand quantity period within 12 periods we could be make production index schedule and order Bill of Resources with standard time that is 0,000316 hours/kg. Able to know machine capacity need in 1 workday = 8 hours day, with 3 shifts per day, 1 week = 6 workdays, 1 month = 25 effective workdays then : available time per month = 25 effective workdays x 8 hours day x 3 shift per day = 600 hours/month. Available capacity for Washing machine = 1.394 hours/month. Available capacity for Crushing machine = 1.394 hours/month. Available capacity for Pelletizing machine = 1.859 hours/month.


2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Abdul Malik Ali ◽  
Arie Saputra ◽  
Junianto Putra

Successful planning and production controls require active capacity planning, in order to be able to meet the established master production schedules. Lack of capacity will lead to production failures, delays in delivery to customers, and loss of confidence in the formal system resulting in a decreased corporate reputation. Overcapacity will result in low resource utilities, increased costs, product prices become competitive, decreased profits. Standard time is a measure of completion of a production process for one unit of product with justified clearance. The standard time required to process 40 Ton bunches of palm fruit sterilizer is 94.70 minute/unit, for thresher machine 73,31 minutes/unit, for screw press machine 96,48 Minutes / unit, and oil purification machine 147,13 minute/unit. Efficiency is the ability of the machine to produce a product. The efficiency of sterilizer machine is 88.00%, for thresher machine is 88.00%, for screw press machine is 88.80%, and oil purification machine is 74.00%. Machine utility is the percentage of machine usage in units of time. The sterilizer machine utility is 81,33%, for thresher machine is 87,35%, for screw press machine is 86,88%, and oil purification machine is 83,18%. Capacity is the rate of output per unit time indicating that the facility theoretically has the ability to produce it. The sterilizer machine capacity is 81.33 ton/hour, for thresher bumper machine is 45,08 ton/hour, for screw press machine is 119,09 ton/hour, and oil purification machine is 79,49 ton/hour. The average production capacity of machine taken for two years is 27.61 ton/hour with machine capacity optimization level of 51,88 ton/hour.Keywords : Production Planning and Control, Standard Time, Capacity (RCCP).


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