scholarly journals Exploiting Virtual Elasticity of Manufacturing Systems to Respect OTD—Part 2: Post-Optimality Conditions for the Cases of Ergodic and Non-Ergodic Order Rate with Deterministic Product-Mix

2021 ◽  
Vol 11 (03) ◽  
pp. 141-162
Author(s):  
Bruno G. Rüttimann ◽  
Martin T. Stöckli
Keyword(s):  
Optimality Conditions ◽  
Manufacturing Systems ◽  
Product Mix ◽  
Order Rate

Acyl Transfer Isomerization of Glycerol 1,2-Dibutyrate and Propane-1,2-diol 1-Butyrate

1998 ◽  
Vol 51 (6) ◽  
pp. 455 ◽  
Author(s):  
Charmian J. O'Connor ◽  
Richard H. Barton
Keyword(s):  
Rate Constants ◽  
Equilibrium Mixture ◽  
Acyl Transfer ◽  
Product Mix ◽  
First Order ◽  
Order Rate ◽  
Pregastric Lipase ◽  
Water Ph ◽  
Emulsion Systems ◽  
Hydrolysis Of

The speciation of mixed butyrylglycerols (glycerol butyrates) and propanediol butyrate esters in the product mix from lamb pregastric lipase-catalysed hydrolysis of tributyrylglycerol and propane-1,2-diol dibutyrate has been examined by 13C n.m.r. spectroscopy. Samples from the quenched reaction mixture were extracted and allowed to stand in emulsion systems made up in bis tris propane buffer or water, pH 7·0, and in the absence of enzyme. There is clear evidence of uncatalysed conversion of rac-1,2-dibutyrylglycerol into the 1,3-isomer to form an equilibrium mixture containing c. 60–67% 1,3-isomer, and of conversion of propane-1,2-diol 1-butyrate into propane-1,2-diol 2-butyrate to form an equilibrium mixture containing c. 67% 2-monoester. Conversion kinetics to reach equilibrium are first order. Rate constants for acyl transfer of the diacylglycerol are 0·48 h-1 (in water) and 0·68 h-1 (in buffer) at 50°C, while those for acyl transfer of the 1-monoester are 0·72 h-1 (50°C) and 0·35 h-1 (35°C).

Using Taguchi Method to Optimize the Performance of Flexible Manufacturing Systems: An Empirical Model

2015 ◽  
Vol 799-800 ◽  
pp. 1410-1416
Author(s):  
Guanghsu A. Chang ◽  
William R. Peterson
Keyword(s):  
Taguchi Method ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Life Cycles ◽  
Design Parameters ◽  
Product Mix ◽  
World Markets ◽  
Manufacturing System Design ◽  
And Performance

Increasing global competition, shrinking product life cycles, and increasing product mix are defining a new manufacturing environment in world markets. This paper presents a case problem using Taguchi Method to find optimum design parameters for a Flexible Manufacturing System (FMS). A L8 array, signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to study performance characteristics of selected manufacturing system design parameters (e.g. layout, AGVs, buffers, and routings) with consideration of product mix demand. Various design and performance parameters are evaluated and compared for the original and the improved FMS. The results obtained by this method may be useful to other researchers for similar types of applications.

Simulation of Manufacturing System at Different Part Mix Ratio and Routing Flexibility

2016 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Rajeev Kumar
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Simulation Analysis ◽  
Research Work ◽  
Product Variety ◽  
Business Environment ◽  
Appreciable Effect ◽  
Routing Flexibility ◽  
Product Mix

In present market scenario, manufacturing industries need to focus towards capability to provide high product variety and availability of products at the point of demand. This situation creates pressure on manufacturing firms to be flexible and to reduce lead time to fulfill customer's demand on time. Flexible Manufacturing Systems (FMS) with appropriate Routing Flexibility (RF) in addition to different scheduling strategies is the appropriate manufacturing alternative in such a case. Such systems are capable to adjust changing product mix yet providing higher performance in dynamic business environment. This research work presents simulation analysis of a FMS with varying Routing Flexibility (RF) level at different part mix ratio to validate this. The results show that varying part mix ratio has appreciable effect on the system performance, when no routing flexibility is present in the system. Also for all product mix ratios, increase in routing flexibility levels continues to improve MST performance with diminishing return.

scholarly journals Amelioration of Capacity Constraints in Manufacturing Systems Using Alternate Production Sequence

2017 ◽  
Vol 5 (1) ◽  
pp. 73-92
Author(s):  
Dhagash Shah ◽  
Krishna Krishnan ◽  
Mukund Dhuttargaon
Keyword(s):  
Production System ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Facility Layout ◽  
Production Capacity ◽  
Capacity Constraints ◽  
Product Mix ◽  
Product Demand ◽  
Demand Changes ◽  
The Cost

Today’s market is in a constant flux of demand changes.  Due to this the product demand and the product mix continuously change from one time-period to the next.  For a company to be profitable and competitive, it has to ensure that all of its resources are optimally utilized.  These resources include facility layout, material handling, and production system.  Previous research has shown that the system state has to be identified prior to increasing capacity to mitigate the constraint.  As the demand and product mix change, a facility layout that was efficient can soon become inefficient or the cost of production and material handling increase.  This research evaluates usage of alternate part sequence as a means to eliminate or reduce production system constraints.  It focuses on reducing machine usage when the selected process sequence leads to production capacity constraints.

“Externality Mix”: A Case of Terminological Variability

1977 ◽  
Vol 5 (4) ◽  
pp. 439-444
Author(s):  
J. Ronnie Davis ◽  
Charles W. Needy
Keyword(s):  
Optimality Conditions ◽  
Significant Contribution ◽  
Graphical Model ◽  
Product Mix ◽  
Joint Product ◽  
Supply Relationship ◽  
Consumption Model ◽  
Technological Variability

Buchanan has made a significant contribution to joint supply theory by emphasizing the relevance of technological variability to welfare optimality conditions. This paper shows that it is the joint supply relationship in his analysis—not the externality relationship—that should be labeled multidimensional. Buchanan's graphical model is replaced with a modified version of Lancaster's consumption model so that Buchanan's “externality mix” can be readily identified as a misnomer for “joint-product mix.” This demonstrates what Buchanan himself asserts: an externality implies, but is not implied by. the presence of joint supply.

Optimal control of higher order differential inclusions with functional constraints

2020 ◽  
Vol 26 ◽  
pp. 37 ◽  
Author(s):  
Elimhan N. Mahmudov
Keyword(s):  
Optimal Control ◽  
Optimality Conditions ◽  
Differential Inclusion ◽  
Differential Inclusions ◽  
Higher Order ◽  
Second Order ◽  
Sufficient Optimality Conditions ◽  
Functional Constraints ◽  
Complementary Slackness ◽  
Complementary Slackness Conditions

The present paper studies the Mayer problem with higher order evolution differential inclusions and functional constraints of optimal control theory (PFC); to this end first we use an interesting auxiliary problem with second order discrete-time and discrete approximate inclusions (PFD). Are proved necessary and sufficient conditions incorporating the Euler–Lagrange inclusion, the Hamiltonian inclusion, the transversality and complementary slackness conditions. The basic concept of obtaining optimal conditions is locally adjoint mappings and equivalence results. Then combining these results and passing to the limit in the discrete approximations we establish new sufficient optimality conditions for second order continuous-time evolution inclusions. This approach and results make a bridge between optimal control problem with higher order differential inclusion (PFC) and constrained mathematical programming problems in finite-dimensional spaces. Formulation of the transversality and complementary slackness conditions for second order differential inclusions play a substantial role in the next investigations without which it is hardly ever possible to get any optimality conditions; consequently, these results are generalized to the problem with an arbitrary higher order differential inclusion. Furthermore, application of these results is demonstrated by solving some semilinear problem with second and third order differential inclusions.

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