scholarly journals Incorporating Outsourcing Strategy and Quality Assurance into a Multiproduct Manufacturer–Retailer Coordination Replenishing Decision

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2212
Author(s):  
Yuan-Shyi Peter Chiu ◽  
Victoria Chiu ◽  
Tsu-Ming Yeh ◽  
Hua-Yao Wu
Keyword(s):  
Quality Assurance ◽  
Cycle Time ◽  
Cost Effective ◽  
Managerial Decision ◽  
Optimal Operating ◽  
Supply Chain System ◽  
Operating Policy ◽  
Multiproduct Manufacturing ◽  
The Impact ◽  
Optimal Operating Policy

This study explores the multiproduct manufacturer-retailer coordination replenishing decision featuring outsourcing strategy and product quality assurance. Globalization has generated enormous opportunities. Consequently, transnational firms now face tough competition in global markets. To stay competitive, a firm should meet the client’s multi-item and quality requirements under capacity constraints and optimize the intra-supply chain system to allow the timely distribution of finished goods under minimum system cost. The outsourcing option is considered to release machine loadings and reduce cycle time effectively. All items fabricated are screened for quality, and reworkable and scrap items are separated. Any reworked items that fail the quality reassurance screening are discarded, whereas all outsourced products are quality-guaranteed by the provider. A fixed-quantity multi-shipment plan is used when the whole finished lot is quality-ensured to help present-day transnational firms gain competitive advantage by making efficient and cost-effective multiproduct manufacturing and delivering decisions. Mathematical modeling is built to portray the system’s characteristics, and conventional differential calculus is used to solve and derive the optimal operating policy for the proposed problem. Simultaneously, we find the optimal delivery frequency and common cycle time for the problem mentioned above. A simulated numerical example and sensitivity analysis demonstrate the research result’s capability and applicability. Our precise analytical model can reveal/highlight the impact of deviations in quality- and outsourcing-related features on the optimal operating policy and several performance indicators that help managerial decision-making.

Modular Simulation to Determine the Optimal Operating Policy of a Batch Reactor for the Enzymatic Fructose Reduction to Mannitol with the in situ Continuous Enzymatic Regeneration of the NAD Cofactor

2017 ◽  
Vol 68 (9) ◽  
pp. 2196-2203 ◽  
Author(s):  
Mara Crisan ◽  
Gheorghe Maria
Keyword(s):  
Batch Reactor ◽  
Production Capacity ◽  
Optimization Procedure ◽  
Enzymatic Reactions ◽  
Mannitol Dehydrogenase ◽  
Optimal Operating ◽  
Operating Policy ◽  
Enzymatic Reduction ◽  
Optimal Operating Policy

Novel coupled enzymatic systems reported important applications in the industrial bio-catalysis. Multi-enzymatic reactions can successfully replace complex chemical syntheses, using milder reaction conditions, and generating less waste. For such systems acting simultaneously, the model-based engineering calculations (design, reactor operation optimization) are difficult tasks, because they must account for interacting reactions, differences in enzymes optimal activity domains and deactivation kinetics. The determination of the optimal operating mode (enzyme ratios, enzyme feeding policy, temperature, pH) often turns into a difficult multi-objective optimization problem with multiple constraints to be solved for every particular system. The paper focuses on applying a modular screening procedure that can identify the optimal operating policy of an enzymatic reactor, which minimizes the enzyme consumption, given the process kinetic model, and an imposed production capacity. Following an optimization procedure, the process effectiveness is evaluated in a systematic approach, by including simple batch reactor (BR), batch with intermittent addition of the key-enzyme following certain optimal policies (BRP). Exemplification is made for the case of the enzymatic reduction of D-fructose to mannitol by using suspended MDH (mannitol dehydrogenase) and NADH (Nicotinamide adenine dinucleotide) cofactor, with the in-situ continuous regeneration of the cofactor by the expense of formate degradation in the presence of suspended FDH (Formate dehydrogenase).

scholarly journals A multi-item batch fabrication problem featuring delayed product differentiation, outsourcing, and quality assurance

2021 ◽  
pp. 63-78 ◽  
Author(s):  
Yuan-Shyi Peter Chiu ◽  
Huei-Hsin Chang ◽  
Tiffany Chiu ◽  
Singa Wang Chiu
Keyword(s):  
Quality Assurance ◽  
Cycle Time ◽  
Optimization Methods ◽  
Total System ◽  
Managerial Decision ◽  
Defective Items ◽  
Time Solution ◽  
Batch Fabrication ◽  
The Individual ◽  
Collective Influence

Variety, quality, and rapid response are becoming a trend in customer requirements in the contemporary competitive markets. Thus, an increasing number of manufacturers are frequently seeking alternatives such as redesigning their fabrication scheme and outsourcing strategy to meet the client’s expectations effectively with minimum operating costs and limited in-house capacity. Inspired by the potential benefits of delay differentiation, outsourcing, and quality assurance policies in the multi-item production planning, this study explores a single-machine two-stage multi-item batch fabrication problem considering the abovementioned features. Stage one is the fabrication of all the required common parts, and stage two is manufacturing the end products. A predetermined portion of common parts is supplied by an external contractor to reduce the uptime of stage one. Both stages have imperfect in-house production processes. The defective items produced are identified, and they are either reworked or removed to ensure the quality of the finished batch. We develop a model to depict the problem explicitly. Modeling, formulation, derivation, and optimization methods assist us in deriving a cost-minimized cycle time solution. Moreover, the proposed model can analyze and expose the diverse features of the problem to help managerial decision-making. An example of this is the individual/ collective influence of postponement, outsourcing, and quality reassurance policies on the optimal cycle time solution, utilization, uptime of each stage, total system cost, and individual cost contributors.

Stochastic Model for Machining Processes—Optimal Decision-Making and Control

1971 ◽  
Vol 93 (2) ◽  
pp. 593-602 ◽  
Author(s):  
S. M. Wu ◽  
J. G. Dalal
Keyword(s):  
Stochastic Model ◽  
Cost Model ◽  
Planning Horizon ◽  
Optimal Decision ◽  
Machine Process ◽  
Machining Processes ◽  
Optimal Operating ◽  
Operating Policy ◽  
Screw Machine ◽  
Optimal Operating Policy

An automatic screw machine process is used as an example to investigate machining operations. Experiments were conducted and a stochastic model for the time series on observed performance of the machine was identified. With the stochastic model, it is possible to forecast the future performance. A simple cost model is assumed for the machining operation and an operating criterion of minimum expected cost per period of operation is used to determine the optimal operating policy. A rolling policy method was used to obtain the optimal operating policy for an indefinite planning horizon. The automatic screw machine process was simulated on a digital computer to determine its performance. The stochastic portion of the deviations from the target was corrected, and the extent of correction was shown to be determined by the cost parameters.

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