From Batch to Continuous Production Through Micro Process Technology: Chances and Challenges

2008 ◽  
Author(s):  
Stephan Scholl
Keyword(s):  
Continuous Production ◽  
High Viscosity ◽  
Batch Processes ◽  
Manufacturing Processes ◽  
Market Demand ◽  
Process Technology ◽  
Intermediate Phases ◽  
Stochastic Market

The majority of the manufacturing processes in the chemical, pharmaceutical, food or cosmetics industry is operated as batch processes. This is economically advantageous in cases where - capacities per product are low, in the range of 10 kg/a to 1000 t/a - many different educts have to be mixed and processed for the product, i.e. a recipe-based manufacturing, - many different but similar products have to be produced, - educts have to be fed at different times and with varying quantities, - educts show problematic properties such as high viscosity, solids or stickiness, - problematic processing behaviour such as fouling, foaming, viscous intermediate phases or undesired precipitation, is found, - manufacturing has to meet a sometimes stochastic market demand or - the process consist of only a few process steps like mixing, heating, reaction and cooling.

Respect for the Environment is Part of Competitiveness - Best Available Technology Applied to an Old Pulp Mill at Kaskinen

1999 ◽  
Vol 40 (11-12) ◽  
pp. 201-206
Author(s):  
I. Reilama ◽  
N. Ilomäki
Keyword(s):  
Process Development ◽  
Continuous Production ◽  
Production Capacity ◽  
Pulp Mill ◽  
Process Technology ◽  
Line Production ◽  
Nutrient Emissions ◽  
Best Available Technology ◽  
Available Technology ◽  
Process Solutions

Oy Metsä-Botnia Ab's Kaskinen mill produces ECF and TCF bleached softwood and hardwood pulp on a single continuous production line. Production capacity has been raised from 250,000 tonnes to 420,000 tonnes a year after the commission in 1977. The basic process solutions date mainly from the 1970s. However, process technology has been gradually modernised. With systematic and well-timed process development investments the mill has remained competitive and among frontrunners in terms of environmental protection. Today, Kaskinen represent the best available technology (BAT) applicable to old mills. Effluent loading in general and nutrient emissions in particular has diminished during the development projects of the mill. Comparison to other mills shows that as far as effluent emissions are concerned, Kaskinen is one of the best pulp mills in Finland and Scandinavia. In this presentation, Kaskinen is also compared to Metsä-Rauma, the first greenfield TCF mill in the world, which was started up in 1996. Kaskinen's pioneering work on TCF technology was used as a basis for process solutions in the Rauma greenfield project.

scholarly journals Energy Efficiency in Industry 4.0: The Case of Batch Production Processes

2020 ◽  
Vol 12 (16) ◽  
pp. 6631 ◽  
Author(s):  
Giancarlo Nota ◽  
Francesco David Nota ◽  
Domenico Peluso ◽  
Alonso Toro Lazo
Keyword(s):  
Energy Consumption ◽  
Industry 4.0 ◽  
Production Systems ◽  
Decision Makers ◽  
Batch Processes ◽  
Energy Losses ◽  
Manufacturing Processes ◽  
Batch Production ◽  
Production Processes ◽  
Cyber Physical Production Systems

We derived a promising approach to reducing the energy consumption necessary in manufacturing processes from the combination of management methodologies and Industry 4.0 technologies. Based on a literature review and experts’ opinions, this work contributes to the efficient use of energy in batch production processes combining the analysis of the overall equipment effectiveness with the study of variables managed by cyber-physical production systems. Starting from the analysis of loss cause identification, we propose a method that obtains quantitative data about energy losses during the execution of batch processes. The contributions of this research include the acquisition of precise information about energy losses and the improvement of value co-creation practices so that energy consumption can be reduced in manufacturing processes. Decision-makers can use the findings to start a virtuous process aiming at carbon footprint and energy costs reductions while ensuring production goals are met.

Capacity Management in Reconfigurable Manufacturing Systems With Stochastic Market Demand

Manufacturing ◽  
2002 ◽  
Author(s):  
Farshid Maghami Asl ◽  
A. Galip Ulsoy
Keyword(s):  
Inventory Control ◽  
Manufacturing Systems ◽  
Optimal Solution ◽  
Capacity Management ◽  
Management Problem ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Market Demand ◽  
Management Scenario ◽  
Stochastic Market

An optimal solution, based on Markov Decision Theory, is presented for the capacity management problem in Reconfigurable Manufacturing Systems with stochastic market demand with a time delay between the time capacity change is ordered and the time it is delivered. The optimal policy in this paper is presented as optimal boundaries representing the optimal capacity expansion and reduction levels. The effects of change in the cost function parameters and the delay time on the optimal boundaries are presented for a capacity management scenario. The major differences between this research and the ones in inventory control lie in two folds. One is the fact that unlike inventory, capacity levels can be reduced according to the market demand. The other one is the novel approach presented in this paper to solve the delay problem which unlike the inventory control does not account for the cumulative unmet demand as a decision factor.

scholarly journals Continuous production of Neisseria meningitidis outer membrane vesicles

2019 ◽  
Vol 103 (23-24) ◽  
pp. 9401-9410
Author(s):  
Matthias J.H. Gerritzen ◽  
Lilli Stangowez ◽  
Bas van de Waterbeemd ◽  
Dirk E. Martens ◽  
René H. Wijffels ◽  
...  
Keyword(s):  
Steady State ◽  
Neisseria Meningitidis ◽  
Outer Membrane ◽  
Continuous Production ◽  
Membrane Vesicles ◽  
Outer Membrane Vesicles ◽  
Volumetric Productivity ◽  
Batch Processes ◽  
Capital Costs ◽  
Production Processes

Abstract Outer membrane vesicles (OMVs) are nanoparticles secreted by Gram-negative bacteria that can be used for diverse biotechnological applications. Interesting applications have been developed, where OMVs are the basis of drug delivery, enzyme carriers, adjuvants, and vaccines. Historically, OMV research has mainly focused on vaccines. Therefore, current OMV production processes have been based on batch processes. The production of OMVs in batch mode is characterized by relatively low yields and high costs. Transition of OMV production processes from batch to continuous processes could increase the volumetric productivity, reduce the production and capital costs, and result in a higher quality product. Here, we study the continuous production of Neisseria meningitidis OMVs to improve volumetric productivity. Continuous cultivation of N. meningitidis resulted in a steady state with similar high OMV concentrations as are reached in current batch processes. The steady state was reproducible and could be maintained for at least 600 h. The volumetric productivity of a continuous culture reached 4.0 × 1014 OMVs per liter culture per day, based on a dilution rate of 1/day. The tested characteristics of the OMVs did not change during the experiments showing feasibility of a continuous production process for the production of OMVs for any application.

Manufacturing Complexity Analysis with Fuzzy AHP

2012 ◽  
Vol 3 (2) ◽  
pp. 31-46 ◽  
Author(s):  
Kouroush Jenab ◽  
Sam Khoury ◽  
Ahmad R. Sarfaraz
Keyword(s):  
Manufacturing Systems ◽  
Complexity Analysis ◽  
Fuzzy Ahp ◽  
Manufacturing Processes ◽  
Process Technology ◽  
Analytic Hierarchy ◽  
Complexity Measures ◽  
Manufacturing Complexity ◽  
Process Complexity ◽  
Hierarchy Process

Budgeting, resource allocation, and planning in manufacturing systems are important issues that can be managed by complexity measures. Manufacturing processes have several primary areas of complexity that may not be measured precisely due to uncertain situations. Therefore, this study reports a Fuzzy Analytic Hierarchy Process (FAHP) model for evaluating the process complexity that takes into account uncertain situations and manufacturing process technology. The model can rank manufacturing processes based on their relative complexities. An illustrative example for several processes is demonstrated to present the application of the model.

Order decision making based on different statement strategies under stochastic market demand

2013 ◽  
Vol 22 (2) ◽  
pp. 171-190 ◽  
Author(s):  
Jiangtao Wang ◽  
Liwen Wang ◽  
Fei Ye ◽  
Xuejun Xu ◽  
Jianjun Yu
Keyword(s):  
Decision Making ◽  
Market Demand ◽  
Stochastic Market

scholarly journals Investment Timing and Capacity Choice under Uncertainty

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Xiumei Lv ◽  
Shiqin Xu ◽  
Xiaoling Tang
Keyword(s):  
Real Option ◽  
Investment Decisions ◽  
Value Functions ◽  
Market Demand ◽  
Strategic Investment ◽  
Investment Timing ◽  
Choice Under Uncertainty ◽  
Capacity Choice ◽  
The Face ◽  
Stochastic Market

This paper examines strategic investment between two firms that compete not only for investment timing but also for capacity under stochastic market demand. The value functions of real option for the follower, the dominant leader, and the preemptive leader are derived and their investment decisions are investigated. It finds that both firms will delay investment and the delayed margin of the follower will surpass that of the leader under greater uncertainty. Furthermore, both firms will provide more outputs in the face of increasing uncertainty and the growth rate of the follower’s capacity will exceed that of the leader’s. In addition, this paper finds that the follower will end up with a larger capacity than the leader.

Optimal Capacity Management With Stochastic Market Demand and Imperfect Information

2003 ◽  
Author(s):  
Farshid Maghami Asl ◽  
A. Galip Ulsoy
Keyword(s):  
Imperfect Information ◽  
Capacity Management ◽  
Management Problem ◽  
Market Demand ◽  
Economic Stability ◽  
New Approach ◽  
Optimal Capacity ◽  
Markov Decision ◽  
Reconfigurable Capacity ◽  
Stochastic Market

Over-capacity has been a major problem in the world economy over the past decade. Reconfigurable capacity, and optimal capacity management policies, can contribute to increased economic stability. This research introduces a new approach to optimal capacity management for a firm faced with uncertainties and imperfect information of the market demand. It presents an optimal policy for the capacity management problem in a firm facing stochastic market demand, based on Markov decision theory. To make the approach more realistic, it is assumed that the firm has imperfect information of its stochastic market demand, and can only observe its previous sales. Optimal policies are presented as boundaries representing the optimal capacity expansion and reduction levels.

scholarly journals Strategi Pengembangan Usaha dan Pemasaran Benih Ikan Patin Siam (Pangasianodon hypopthalmus) Dengan Sistem Jejaring pada Cabang Dinas Kelautan dan Perikanan Wilayah Utara Provinsi Jawa Barat

2019 ◽  
Vol 14 (1) ◽  
pp. 15-23
Author(s):  
Titus Pramono ◽  
Suryahadi ◽  
Wini Trilaksani
Keyword(s):  
Seed Quality ◽  
Matrix Analysis ◽  
Maximum Output ◽  
Market Demand ◽  
Process Technology ◽  
West Java ◽  
Advantages And Disadvantages ◽  
Factor Evaluation ◽  
Partnership Network ◽  
Evaluation Matrix

The production of Siam-catfish (Pangasianodon hypopthalmus) seeds in Subang, West Java can not meet the market demand yet. The production of Siam-catfish seeds need to be improved especially by the main supplier namely the North Branch of Marine and fisheries service of West Java province (CDKPWU) with a partnership pattern between core and plasma. The purposes of this study were to identify internal and external factors that influence the marketing of Siam-catfish seeds with a network system between CDKPWU and partners, to identify advantages and disadvantages in the network process that occurs between CDKPWU and the partners, and trying to develop the most effective business and marketing srategy of Siam-catfish seeds in order to reach maximum output and outcome. The methods used in this study were as follows: (1) Valuable, Rare, Imitate to Cost and Organized Analysis (VRIO), (2) Political-Legal, Economic, Social, Technology  Analysis (PEST), (3) Internal Factor Evaluation Matrix (IFE), (4) External Factor Evaluation Matrix (EFE), (5) Internal External (IE) Matrix, (6) Analysis of Strengths, Weaknesses, Opportunities, and Threats (SWOT) and (7) Quantitative Strategic Planning Matrix (QSPM) Analysis. The result of IFE and EFE matrix indicated that the company's position was stable in response to external situation. The total score of IFE matrix was 3.38, indicating that the strength of CDKPWU can overcome weaknesses very well. The total score of EFE matrix was 2.59, describing that CDKPWU was good enough in responding to opportunities and minimizing threats. The results of the SWOT analysis show nine alternative strategy formulations in which three alternative formulation priorities were (1) Expanding the production partnership network to increase production and increase community income, (2) Maintaining good seed quality and production process technology, (3) Utilizing partnerships to establish good relationship and communication with relevant agencies. Based on the QSPM matrix analysis, the priority strategies are obtained to be implemented, namely expanding the production partnership network to increase production and increase community income

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