A framework for ensuring zero defects and sustainable operations in major Indian ports

Abstract

PurposePorts are a significant link in a global supply chain and an economic entity that contributes to the country's economy. India has around 200 ports along its coastline of about 8,000 Km, yet none of them perform at par with many Asian ports. In the Indian port system, cargo throughput and the turnaround time (TAT) of ships calling at ports constitute the most significant performance measures. These performance metrics do not integrate sustainability measures such as emission levels and energy consumed. The draft is a constraint in many ports and ships visit with less than full shipload cargo. The TAT for such vessels may be lower, but the emission per ton of cargo carried is higher compared to a ship with full shipload cargo. Many ports have old or poorly maintained equipment. This state of equipment increases pollution and consumption of energy. In this paper, an attempt has been made to address the issue of undesirable and right outputs simultaneously in an Indian port system. This paper proposes a framework to ensure zero defects in Indian port operations and a port-sustainability-index to measure sustainable services in Indian ports.Design/methodology/approachThe authors used data envelopment analysis (DEA) to show that all private terminals did not perform efficiently and contradicted the notion of Indian policymakers that privatization will lead to an increase in performance levels. A literature review was carried out to identify the dimensions and factors that affect ports' performance. A case study of a major port in India and expert group discussion was done to ascertain the views of stakeholders on deficiencies in the system. The authors complemented this approach with sentiment analysis of opinions expressed by stakeholders over a while, using SentiStrength analysis software (Thelwell, 2010, 2012). The authors used the combined findings to develop the port-sustainability-index (PSI), identify the research question, and develop an ontology of the port system. The authors use the concepts of ontology-design-pattern (ODP) and logistics-service-map (Glöckner et al., 2014; Glöckner and Ludwig, 2016, 2017), opinion mining (Pang and Lee, 2008) and competency questions (Glöckner and Ludwig, 2017) to develop a port system map followed by the identification of critical elements; and the flows (physical and information flow) that gets disrupted due to defects in the system. The ontology led to the identification of competencies and capabilities a port needs to possess. Based on these identification process competency questions were drawn, and the authors identified the plausible defects that port may encounter. The authors suggested the sustainability metrics for monitoring port performance and policy changes based on the competency questions, defects, and mitigation plans.FindingsThe authors introduced four KPIs, namely, port-sustainability-index (PSI), load factor (lx and ly), draft ratio (dr), and turnaround-time ratio (TATR). The authors suggested significant policy changes for Indian ports. These included –(1) Introduction of virtual arrival (VA) policy, reducing randomness in the system by pre-scheduling arrivals and activities. (2) Redefining economic life of equipment and machinery in terms of expenditure, income and desired levels of output. (3) Pricing port charges based on stakeholders’ ability and willingness to pay. The port needs to declare its productivity levels and frame their charges accordingly. (4) The ports need to frame an output-oriented privatization policy where it specifies the growth of the port. (5) Framing vessel pricing policy where a vessel may pay tax for the use of non-clean fuel or a get discount for bringing higher parcel load. (6) Levy lower port charges for the shipper for transporting cargo by rail and barges. (7) Introduce a differential pricing system where port levies lower charges for export cargo compared to import load.Research limitations/implicationsThe research work can be extended to develop a simulation model to carry out policy experimentations concerning the improvement of performance and carry out sustainable operations. Alternatively, researchers may develop a multi-criteria optimization model to determine the best course of action, keeping the objective function as minimization of PSI value.Practical implicationsThis paper provides the means to the Indian ports to remain competitive, lower emission levels and energy consumption, and optimize emission per ton of cargo handled in the port.Social implicationsSociety significantly benefits from this study as it recommends ways to minimize pollution that has a significant impact on human lives. Besides, the measures suggested in the paper will lower the cost of exports and imports, enhancing the real income of consumers.Originality/valueThe area of sustainable port operations has previously been under-researched in the Indian context. Authors contribute to the sustainable port operation literature by suggesting a port-sustainability-index, a framework to assess the defects in port operation and development of a port-ontology for further research in the area of a port system.

Port Sustainability Index: Methodological Issues

“…Ports with draft constraints do not allow ships with full shipload of cargo which results in dead freighting, lower TAT, but higher emission per ton of cargo [25]. In addition, dead freighting gives rise to increased number of ship calls which also increases the emission levels.…”

“…Gain in Z due to unit increase in X is different for different values of X. Models based on Data Envelopment Analysis (DEA) were used to estimate environmental and operational performance of ports [25,48]. However, factors like selection of variables, methods used, associated assumptions, sample size, etc.…”

Leveraging Artificial Intelligence to Enhance Port Operation Efficiency

“…Smart technologies can help in effectively managing energy use in port operations, resulting in notable decreases in energy consumption [23][24][25][26][27], and the use of automated guided vehicles and electric cranes can reduce dependence on non-renewable energy sources, resulting in cost savings and decreased carbon emissions [28,29]. Through the digitisation of processes and documentation, operations can become more efficient by reducing ship idle times in port; this results in decreased fuel consumption and GHG emissions, ultimately lowering port fees and fuel costs for shipping companies [30][31][32]. Improving port management by enhancing planning and forecasting helps alleviate congestion and streamline ship schedules, ultimately cutting down on idle time for ships and lowering fuel usage and emissions [33,34].…”