scholarly journals Optimization of Low-Sugar Polygonatum Jam Production Process by Response Surface Methodology

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Hua Feng ◽  
◽  
Jinli Zhang ◽  
Haoyuan Wu ◽  
Peng Wu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Production Process ◽  
Response Surface

scholarly journals Optimization of Aeration and Agitation Rate for Lipid and Gamma Linolenic Acid Production byCunninghamella bainieri2A1 in Submerged Fermentation Using Response Surface Methodology

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Normah Saad ◽  
Peyman Abdeshahian ◽  
Mohd Sahaid Kalil ◽  
Wan Mohtar Wan Yusoff ◽  
Aidil Abdul Hamid
Keyword(s):  
Response Surface Methodology ◽  
Production Process ◽  
Response Surface ◽  
Linolenic Acid ◽  
Lipid Production ◽  
Aeration Rate ◽  
Agitation Speed ◽  
Agitation Rate ◽  
Optimum Conditions ◽  
Gamma Linolenic Acid

The locally isolated filamentous fungusCunninghamella bainieri2A1 was cultivated in a 5 L bioreactor to produce lipid and gamma-linolenic acid (GLA). The optimization was carried out using response surface methodology based on a central composite design. A statistical model, second-order polynomial model, was adjusted to the experimental data to evaluate the effect of key operating variables, including aeration rate and agitation speed on lipid production. Process analysis showed that linear and quadratic effect of agitation intensity significantly influenced lipid production process (P<0.01). The quadratic model also indicated that the interaction between aeration rate and agitation speed had a highly significant effect on lipid production (P<0.01). Experimental results showed that a lipid content of 38.71% was produced in optimum conditions using an airflow rate and agitation speed of 0.32 vvm and 599 rpm, respectively. Similar results revealed that 0.058 (g/g) gamma-linolenic acid was produced in optimum conditions where 1.0 vvm aeration rate and 441.45 rpm agitation rate were used. The regression model confirmed that aeration and agitation were of prime importance for optimum production of lipid in the bioreactor.

scholarly journals PERANCANGAN GROUP TECHNOLOGY LAYOUT DI PT DPS SURABAYA DENGAN METODE SIMULASI DAN TAGUCHI

2012 ◽  
Vol 12 (2) ◽  
pp. 104
Author(s):  
RAHAJU SARASWATI ◽  
ALI AZHAR ◽  
MUDJAHIDIN MUDJAHIDIN ◽  
DEDY KUNHADI
Keyword(s):  
Response Surface Methodology ◽  
Production Process ◽  
Response Surface ◽  
Cell System ◽  
Optimal Layout ◽  
Manufacturing Cell ◽  
Optimal Loading ◽  
Set Up ◽  
Demand Stability ◽  
Optimal Set

PT Dok dan Perkapalan Surabaya (DPS) is one of several strategic BUMN in marine field. With BUMN restructurisation and efficiency program from Government, PT DPS is liable to improve its production system efficiency. Many problems that faced by PT DPS to improve its production system efficiency are : (1)There is waste work shop such as work in process, waiting time, and flow time at fabrication process in PT DPS, (2) Because waste work shop is still big, shop production process efficiency has not reached maximally yet, (3)Layout and facilities of PT DPS today is already suitable with concept of Product Oriented Work Breakdown Structure (PBWS), but it is limited at simple construction form. At this research, there is ship production process design with Process Lane Construction and Zone Outfitting method or it is known with Group Technology Layout (Manufacturing Cell System) term in order to solve inefficiency problem at ship production process in PT DPS. Design process is performed by integrating Simulation method, Taguchi, Response Surface Methodology, and Analytical Hierarchy Process (AHP). Simulation method is used to model designed manufacturing cell system, meanwhile Taguchi method and Response Surface Methodology are used for experiment and optimization at manufacturing system simulation model. In order to measure the performanceof designed manufacturing cell system, multivariate measurement method is used, that is by measuring work in process, waiting time, and flow time with smaller the better criteria. Multi response becomes single response by using Analytical Hierarchy Process (AHP) method. From research result with Taguchi Method and Response Surface Methodology know that in fabrication stage optimal layout is second tipe, optimal set up time is 40 minutes, optimal lot size is 16 tons, optimal loading interval is 400 minutes, optimal demand stability is 92.5 %, in subassembly stage optimal layout is first tipe, optimal set up time is 40 minutes, optimal lotsize is 10 tons, optimal loading interval is 400 minutes, optimal demand stability is 92.5 %, in assembly stage optimal layout is first tipe, optimal set up time is 40 minutes, optimal lotsize is 6tons, optimal loading interval is 400 minutes, optimal demand stability is 92.5 %, in erection stage optimal layout is second tipe, optimal set up time is 40 minutes, optimal lot size is 6 tons, optimal loading interval is 480 minutes, optimal demand stability is 92.5 %.

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