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1 – 4 of 4Raj V. Amonkar, Tuhin Sengupta and Debasis Patnaik
This case introduces the context of seaport logistics supply chain management with a focus on the issues of risk management in handling and transportation of dangerous goods (DG)…
Abstract
Learning outcomes
This case introduces the context of seaport logistics supply chain management with a focus on the issues of risk management in handling and transportation of dangerous goods (DG). The authors present the following learning objectives under the overarching framework of Bloom’s Taxonomy as follows: To understand the severity of handling and transportation of DG in the export supply chain context. To understand the relevance of multi-criteria decision-making in risk assessment. To apply Delphi Technique to appropriately explain the process of risk assessment in a supply-chain context.
Case overview/synopsis
It was midnight on December 21, 2020, and Nishadh Amonkar, Chief Executive Officer, Yorokobi, was still awake recollecting his telecon with Tushar Rane, the Head-Materials, Western Maharashtra site of Crop Life Pvt Ltd. The organization was developing and manufacturing pesticides and other specialty chemicals for its clients worldwide. As new and diverse products were being manufactured in the organization, transportation of the products was becoming challenging. The case highlights the need for a data driven risk assessment approach to manage supply chains that were prone to product driven risks such as the handling and transportation of DG.
Complexity academic level
This course is suitable at the Master of Business Administration level for the following courses: Supply Chain Management (Focus/Session: Supply Chain Risk Management), Logistics Management (Focus/Session: Risks in Logistics and Supply Chain), Research Methodology (Focus/Session: Application of Delphi Technique).
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Teaching notes are available for educators only.
Subject code
CSS 9: Operations and logistics.
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Raj V Amonkar, Tuhin Sengupta and Debasis Patnaik
The learning outcomes are to remember the overall context of global supply chain management from a stakeholder perspective, to understand the context of material handling movement…
Abstract
Learning outcomes
The learning outcomes are to remember the overall context of global supply chain management from a stakeholder perspective, to understand the context of material handling movement in a mining industry, to apply the overall knowledge of linear programming in a supply chain context, to analyze the different constraints with flow of goods at different nodes in various location hubs and convert the same into the optimization problem and to evaluate carefully the different costs associated at different levels and then finding the optimal solution that minimizes the total cost.
Case overview/synopsis
This case proposes a mixed integer multi-echelon analytical model integrated with the scenario tree analysis. The integrated model is used to optimize the allocation of volumes at various stages of the supply chain of exporters of bulk materials like iron ore from Goa, India, to various countries in Asia. The scenario tree analysis is then used to evaluate decisions under certainty with demand as the stochastic parameter. The proposed integrated model has potential for collaboration in the supply chain and facilitating network design, inventory and transportation planning and policy analysis.
Complexity academic level
This course is suitable at the MBA level for the following courses: Operations Research (Focus/Session: Applications on Supply Chain Management), Supply Chain Management (Focus/Session: Global Supply Chain Management, Logistics Planning, Distribution Network), Logistics Management (Focus/Session: Transportation Planning) nd Operations Strategy (Focus/Session: Location Node Strategy).
Supplementary materials
Teaching Notes are available for educators only.
Subject code
CSS 9: Operations and Logistics.
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Raj V. Amonkar, Tuhin Sengupta and Debasis Patnaik
The learning outcomes of this paper are as follows: to understand the context of seaport logistics and supply chain design structure, to apply Monte Carlo simulation in the…
Abstract
Learning outcomes
The learning outcomes of this paper are as follows: to understand the context of seaport logistics and supply chain design structure, to apply Monte Carlo simulation in the interface of the supply chain and to analyze the Monte Carlo simulation algorithm and statistical techniques for identifying the key seaport logistics factors.
Case overview/synopsis
It was 9:00 p.m. on November 10, 2020, and Nishadh Amonkar, the CEO of OCTO supply chain management (SCM) was glued to the television watching the final cricket match of the Indian Premier League, 2020. Amonkar’s mobile phone rang and it was a call from Vinod Nair, a member Logistics Panel of Ranji Industries Federation. Nair informed Amonkar that it was related to the rejection of several export consignments of agricultural products from Ranji (in the western part of India). The rejection was due to the deterioration in the quality of the exported agricultural products during transit from Ranji to various locations in Europe.
Complexity academic level
This course is suitable at the MBA level for the following courses: Operations research (Focus/Session: Applications on Monte Carlo Simulation). SCM (Focus/Session: Global SCM, Logistics Planning, Distribution Network). Logistics management (Focus/Session: Transportation Planning). Business statistics (Focus/Session: Application of Hypothesis Testing).
Supplementary materials
Teaching Notes are available for educators only.
Subject code
CSS 9: Operations and logistics.
Details
Keywords
Shashi Lata Yadav, Babitha Vishwanath and Debasis Patnaik
Corporate social responsibility (CSR) in India includes education, environment, healthcare and rural development. In post-liberalized India, the healthcare sector (services and…
Abstract
Purpose
Corporate social responsibility (CSR) in India includes education, environment, healthcare and rural development. In post-liberalized India, the healthcare sector (services and facilities) has grown in leaps and bounds over last two decades. The purpose of this paper is to reveal and explain the CSR profile of select healthcare companies of India and reveal gaps and scope of healthcare activities with a special consideration towards maternal health.
Design/methodology/approach
Primary data are collected from seven listed companies of Goa state which were willing to participate in the study. In total, 67 companies constituting the Healthcare Sector Index of Standard & Poor of the Bombay Stock Exchange are considered as secondary source. Data of 59 companies that come within the threshold of Companies Act, 2013, are studied. CSR guidelines (with a turnover of Rs 10bn or a market capitalization of Rs 5bn or a net profit of Rs 50m) are taken as an initial frame of reference.
Findings
In total, 89.83 per cent of these companies have initiatives related to health care. Structured companies (contribute to the company’s overall mission and goals) with CSR policy have committee size varying from three to five directors with an independent director. During 2016–2017, they were mandated to spend Rs 4.2613bn out of which only 74.59 per cent was spent. Geographical spread of CSR initiatives is skewed, with majority of companies focussing on the states of Maharashtra and Gujarat, whereas the states of Odisha and North-Eastern being neglected. The focus areas of CSR are education, healthcare and rural development. The variation of MMR in different states of India is an indicator for corporate as to which state needs more attention. The corporate sector in India needs to focus on SDG3 target of MMR and move towards a newer dimension and direction.
Originality/value
The originality of this paper lies in the recognition of the initiative of Government of India of weaning out CSR activities outside the purview of business sense and towards instilling a social sense in company behaviour. This is a dimensional and directional change in the evolution of CSR practices in companies and countries. To this end, 59 healthcare sector companies under the threshold of Companies Act 2013 were studied and results were outlined.
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