scholarly journals Coordination Supply Chain Management Under Flexible Manufacturing, Stochastic Leadtime Demand, and Mixture of Inventory

Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 911 ◽  
Author(s):  
Asif Iqbal Malik ◽  
Biswajit Sarkar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Lead Time ◽  
Cost Allocation ◽  
Nash Bargaining ◽  
Decision Variable ◽  
Theoretic Approach ◽  
Flexible Production ◽  
Allocation Model ◽  
Chain Management

The necessity of coordination among entities is essential for the success of any supply chain management (SCM). This paper focuses on coordination between two players and cost-sharing in an SCM that considers a vendor and a buyer. For random demand and complex product production, a flexible production system is recommended. The study aims to minimize the total SCM cost under stochastic conditions. In the flexible production systems, the production rate is introduced as the decision variable and the unit production cost is minimum at the obtained optimal value. The setup cost of flexible systems is higher and to control this, a discrete investment function is utilized. The exact information about the probability distribution of lead time demand is not available with known mean and variance. The issue of unknown distribution of lead time demand is solved by considering a distribution-free approach to find the amount of shortages. The game-theoretic approach is employed to obtain closed-form solutions. First, the model is solved under decentralized SCM based on the Stackelberg model, and then solved under centralized SCM. Bargaining is the central theme of any business nowadays among the players of an SCM to make their profit within a centralized and decentralized setup. For this, a cost allocation model for lead time crashing cost based on the Nash bargaining model with the satisfaction level of SCM members is proposed. The cost allocation model under Nash bargaining achieves exciting results in SCM coordination.

Supply Chain Coordination Under Service Level Constraint and Controllable Lead Time

2016 ◽  
Vol 7 (2) ◽  
pp. 84-106 ◽  
Author(s):  
Prashant Jindal ◽  
Anjana Solanki
Keyword(s):  
Supply Chain ◽  
Cost Reduction ◽  
Lead Time ◽  
Cost Allocation ◽  
Optimal Solution ◽  
Service Level ◽  
Decision Variable ◽  
Allocation Model ◽  
Controllable Lead Time ◽  
Ordering Cost Reduction

This paper investigates the coordination issue in a decentralized supply chain having a vendor and a buyer for a defective product. The authors develop two inventory models with controllable lead time under service level constraint. The first one is propose under decentralized mode based on the Stackelberg model, the other one is propose under centralized mode of the integrated supply chain. Ordering cost reduction is also including as a decision variable along with shipping quantity, lead time and number of shipments. Computational findings using the software Matlab 7.0 are provided to find the optimal solution. The results of numerical examples show that centralized mode is better than that of decentralized mode, and to induce both vendor and buyer for coordination, proposed cost allocation model is effective. The authors also numerically investigate the effects of backorder parameter on the optimal solutions. Benefit of ordering cost reduction in both models is also provided.

Supply chain management under product demand and lead time uncertainty

2020 ◽  
Vol 37 (4) ◽  
pp. 453
Author(s):  
Joaquim Jorge Vicente ◽  
Ana Paula Barbosa Póvoa ◽  
Susana Relvas
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Lead Time ◽  
Chain Management ◽  
Product Demand ◽  
Time Uncertainty ◽  
Lead Time Uncertainty

scholarly journals Analisis Kesesuaian Kegiatan Pergudangan dan Pemetaan Proses Pergudangan pada Salah Satu Warehouse Industri Farmasi di Jakarta

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Wahyu Ashri Aditya ◽  
Ida Musfiroh
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Lead Time ◽  
Chain Management

Manajemen rantai pasok (Supply Chain Management) pada aspek pergudangan di suatu Industri Farmasi merupakan parameter yang sangat penting dalam suatu rantai distribusi sediaan farmasi; yang terdiri atas penerimaan, penyimpanan hingga pengiriman produk farmasi. Sistem penyimpanan dan pengiriman obat di Industri Farmasi yang baik dan benar mengacu pada Cara Pembuatan Obat yang Baik (CPOB) Tahun 2018 Bab 6 tentang Cara Penyimpanan dan Pengiriman Obat yang Baik. Gudang yang belum menerapkan CPOB akan mengalami kerugian serta kerusakan fisik sediaan farmasi dan juga kerugian finansial akibat produk yang pasif di gudang. Hal ini berdampak kepada penurunan kualitas warehouse dari Industri tersebut. Selain itu, pemetaan proses gudang dilakukan guna melihat dan menghilangkan pemborosan dalam proses kerja agar lead time dapat diperpendek secara signifikan dan kualitas diciptakan dengan benar sejak awal. Maka dari itu, diperlukan adanya evaluasi kegiatan pergudangan dan pemetaan proses pergudangan pada warehouse salah satu Industri Farmasi di Jakarta yang bertujuan untuk melihat kesesuaian kegiatan Gudang dengan CPOB dan menghilangkan pemborosan pada gudang. Penelitian dilaksanakan selama bulan Maret 2020 dengan melakukan pengamatan secara observasional dan dilakukan evaluasi. Hasil pengamatan menunjukkan bahwa Industri Farmasi telah memenuhi ketentuan sesuai CPOB akan tetapi masih terdapat beberapa sistem yang memerlukan kesesuaian lebih lanjut dengan CPOB untuk menghindari waste (pemborosan) dalam proses kerja sehingga diperlukan CAPA untuk evaluasi pada Industri Farmasi tersebut.Kata Kunci: Evaluasi, Pergudangan, Warehouse, Industri Farmasi, CPOB, Waste.

scholarly journals Coordinating Supply-Chain Management under Stochastic Fuzzy Environment and Lead-Time Reduction

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 480 ◽  
Author(s):  
Asif Iqbal Malik ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Lead Time ◽  
Optimal Solution ◽  
Chain Model ◽  
Setup Cost ◽  
Chain Management ◽  
The Impact ◽  
Collaborative Supply Chain Management

In this paper, a supply-chain (SC) coordination method based on the lead-time crashing is proposed for a seller–buyer system. By considering different transportation modes, we control the lead-time (LT) variability. For the first time, we have attempted to determine the impact of the reliable and unreliable seller in a continuous-review supply-chain model under the stochastic environment. The authors discussed two reliability cases for the seller. First, we consider the seller is unreliable and in the second case, the seller is reliable. In addition, the demand during the lead time is stochastic with the known mean and variance. The proposed approach tries to find an optimal solution that performs well without a specific probability distribution. Besides, a discrete investment is made to reduce the setup cost, which will indirectly help supply-chain members to increase the total profit of the system. In the proposed model, the seller motivates the buyer by reducing lead time to take part in coordinating decision-making for the system’s profit optimization. We derive the coordination conditions for both members, the seller and the buyer, under which they are convinced to take part in the cooperative decision-making plan. Therefore, lead-time crashing is the proposed incentive mechanism for collaborative supply-chain management. We use a fixed-charge step function to calculate the lead-time crashing cost for slow and fast shipping mode. We give two numerical examples to validate the proposed models and demonstrate the service-level enhancement under the collaborative supply-chain management in case of an unreliable seller. Concluding remarks and future extensions are discussed at the end.

scholarly journals An integrated supply chain model for the perishable items with fuzzy production rate and fuzzy demand rate

2011 ◽  
Vol 21 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Chaman Singh ◽  
S.R. Singh
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Production Rate ◽  
Fuzzy Model ◽  
Extension Principle ◽  
Decision Variable ◽  
Chain Model ◽  
Chain Management ◽  
Perishable Items ◽  
Demand Rate

In the changing market scenario, supply chain management is getting phenomenal importance amongst researchers. Studies on supply chain management have emphasized the importance of a long-term strategic relationship between the manufacturer, distributor and retailer. In the present paper, a model has been developed by assuming that the demand rate and production rate as triangular fuzzy numbers and items deteriorate at a constant rate. The expressions for the average inventory cost are obtained both in crisp and fuzzy sense. The fuzzy model is defuzzified using the fuzzy extension principle, and its optimization with respect to the decision variable is also carried out. Finally, an example is given to illustrate the model and sensitivity analysis is performed to study the effect of parameters.

A DISTRIBUTION FREE MODEL FOR LEAD TIME REDUCTION EFFECT IN SUPPLY CHAIN MANAGEMENT

2020 ◽  
Vol 20 (4) ◽  
pp. 62-73
Author(s):  
Zhi Tao ◽  
Rebecca Abraham ◽  
Ravi Chinta ◽  
Thomas Harrington
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Lead Time ◽  
Distribution Free ◽  
Chain Management ◽  
Lead Time Reduction ◽  
Free Model ◽  
Time Reduction ◽  
Reduction Effect

Evaluating the Efficiency of Supply Chain Management of Bangladesh Readymade Garments Industry

2018 ◽  
Vol 3 (12) ◽  
Author(s):  
AHM Yeaseen Chowdhury ◽  
Mamum Habib ◽  
Md Zahedul Alam
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Lead Time ◽  
Reference Model ◽  
Global Market ◽  
Latent Factors ◽  
Chain Management ◽  
Building Collapse ◽  
Fire Incident ◽  
Challenging Situation

Efficient implementation of Supply Chain Management (SCM) is very imperative for Bangladesh RMG sector to remain competitive in the global market. Bangladesh is struggling with meeting customer lead time, quality problem and with productivity comparing with other RMG producing nations. Moreover, the industry experienced few setbacks relating to building collapse and fire incident which forced the industry into more challenging situation. The country has no alternative to implement proper SCM in order to achieve the desired export goal of US$ 50 billion set by government within year 2021. But unfortunately the level ofpractice and efficiency level of SCM is not satisfactory. This study measures the efficiency level of SCM in RMG sector following Supply Operations Reference Model (SCOR) and found it unsatisfactory. Theanalyses suggest that all the operational dimensions are linked with one another and companies need to improve on all dimensions for improving SCM efficiency. The study provides a model for measuring SCM efficiency with eight latent factors.

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